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glam/ontology/2025-09-29T07-47-49-be5be008-9c6b-4d18-8862-a548e000b64b-Ontologies_for_data_stewardship.json
kempersc fa5680f0dd Add initial versions of custodian hub UML diagrams in Mermaid and PlantUML formats 
- Introduced custodian_hub_v3.mmd, custodian_hub_v4_final.mmd, and custodian_hub_v5_FINAL.mmd for Mermaid representation.
- Created custodian_hub_FINAL.puml and custodian_hub_v3.puml for PlantUML representation.
- Defined entities such as CustodianReconstruction, Identifier, TimeSpan, Agent, CustodianName, CustodianObservation, ReconstructionActivity, Appellation, ConfidenceMeasure, Custodian, LanguageCode, and SourceDocument.
- Established relationships and associations between entities, including temporal extents, observations, and reconstruction activities.
- Incorporated enumerations for various types, statuses, and classifications relevant to custodians and their activities.
2025-11-22 14:33:51 +01:00

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"uuid": "be5be008-9c6b-4d18-8862-a548e000b64b",
"name": "Ontologies for data stewardship",
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"created_at": "2025-09-29T07:47:49.828017Z",
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"text": "Search for ontologies similar to TOOI that can be used to describe bronhouders (data stewards). Think of the Core Public Prganization Vocabulary (CPOV) and similar devices",
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"text": "Search for ontologies similar to TOOI that can be used to describe bronhouders (data stewards). Think of the Core Public Prganization Vocabulary (CPOV) and similar devices",
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"extracted_content": "# Organizations and platforms actively using TOOI for knowledge graphs\n\nTOOI (Thesauri en Ontologieën voor Overheidsinformatie) serves as the semantic backbone for Dutch government information systems, enabling knowledge graph implementations across multiple organizations and platforms. While direct TOOI knowledge graph implementations are concentrated at the national level, the standard reaches hundreds of government organizations through mandatory integration in key systems.\n\n## National government platforms and core implementations\n\nThe most comprehensive TOOI knowledge graph implementations operate at the national level through KOOP (Kennis- en Exploitatiecentrum voor Officiële OverheidsPublicaties), which manages the standard and operates multiple platforms converting government data into semantic formats. **Officielebekendmakingen.nl** uses TOOI organization identifiers and document classification thesauri to structure all official government announcements as linked data. The platform converts legal documents, announcements, and regulatory publications from all government levels into standardized knowledge graphs with persistent URIs based on the identifier.overheid.nl domain.\n\n**Wetten.overheid.nl**, the consolidated national legislation database, implements TOOI through its tooibwb thesaurus for legal document classification and organization metadata from TOOI registers. The system uses TOOI URIs for consistent legal document identification and integrates with LiDO (Linked Data Overheid), which maintains millions of hyperlinks between legal documents. LiDO operates as a comprehensive cross-reference knowledge graph, linking national and European legislation, court decisions, and parliamentary documents through TOOI ontology classifications.\n\nThe **DSO (Digitaal Stelsel Omgevingswet)** represents a major multi-agency implementation using STOP/TPOD standards built on TOOI principles. This system, operated collaboratively by Kadaster and various ministries, applies TOOI for environmental regulation classification, spatial planning document metadata, and inter-agency data exchange standardization. All municipalities and provinces must use TOOI identifiers when submitting environmental plans to this national system.\n\n**Open.overheid.nl** implements TOOI for Open Government Act compliance, using the standard for document metadata standardization, organization identification, and information object classification. The platform converts government information into linked data format, while **data.overheid.nl** uses TOOI vocabularies for dataset cataloging in its DCAT-AP compliant national open data portal.\n\n## Advanced knowledge graph implementations by government agencies\n\n**Kadaster** stands out with the most advanced government knowledge graph implementation in the Netherlands. Their Kadaster Knowledge Graph (KKG) fully integrates TOOI standards and URI strategy while managing billions of triples of spatial data. The system provides a public SPARQL endpoint at api.labs.kadaster.nl/datasets/kadaster/kg/services/default/sparql, integrating data from multiple base registries including BAG (buildings/addresses), BGT (large-scale topography), BRT (topography), BRK (cadastral), and public legal restrictions. Kadaster has developed the Loki chatbot for natural language queries and provides comprehensive API documentation, making it the most technically mature TOOI-aligned knowledge graph implementation.\n\nThe **Government Organization Registry (ROO)** at organisaties.overheid.nl serves as the primary implementation of TOOI registers, maintaining authentic government organization data with full organizational hierarchy and relationships as linked data. This registry provides the foundation for organization identification across all TOOI-enabled systems.\n\n## Water boards and regional implementation\n\nAll 21 active Dutch water boards (waterschappen) have TOOI URIs in the format identifier.overheid.nl/tooi/id/waterschap/[code], with data available in JSON, RDF, and TTL formats. **Het Waterschapshuis** coordinates sector-wide initiatives through the Gegevensknooppunt Waterschappen (Water Board Data Hub), integrating the Informatiemodel Water (IMWA) for structured water management data. While water boards publish extensive datasets through PDOK and data.overheid.nl, they primarily consume TOOI standards rather than implementing independent knowledge graphs. Their 2027 vision aims for data-driven operations through participation in the national Federative Data System.\n\n## Limited direct implementation at provincial and municipal levels\n\nResearch reveals **minimal direct TOOI knowledge graph implementations** at provincial and municipal government levels. The TOOI beheerplan explicitly states \"Er is nog geen ervaring met het toepassen van TOOI buiten KOOP\" (There is no experience with applying TOOI outside of KOOP). Local governments primarily use TOOI indirectly through mandatory compliance with national systems like STOP/DSO for environmental planning and PLOOI for Open Government Act requirements.\n\nMajor cities including Amsterdam, Rotterdam, Den Haag, and Utrecht maintain their own open data portals but use DCAT standards rather than TOOI-based knowledge graphs. All municipalities have TOOI register entries (e.g., gemeente Amsterdam = identifier.overheid.nl/tooi/id/gemeente/gm0363), but these are centrally managed national registry entries, not local implementations.\n\n## Private sector and technical infrastructure\n\n**Taxonic**, a Utrecht-based semantic consultancy and W3C Partner organization, serves as the lead implementation partner for TOOI Knowledge Graph development. Since 2019, their team has been commissioned by KOOP for core TOOI development, while also providing implementation services to Dutch Police, Kadaster, and other major organizations. They offer semantic technology training through Taxonic Academy.\n\n**Triply** manages what they describe as the \"largest governmental implementation of linked data in the Netherlands\" through their TriplyDB platform. Their cloud-based infrastructure supports multiple RDF serializations (JSON-LD, Turtle, N-Triples, RDF-XML) with RESTful APIs, Triple Pattern Fragments, and SPARQL endpoints. They serve Kadaster and numerous cultural and research institutions with W3C-compliant linked data services.\n\nAdditional technology partners include **Ordina**, one of the first major Dutch IT consultancies specializing in linked data with a vision for \"Information Oriented Architecture,\" and **SemmTech**, an active member of Platform Linked Data Nederland providing semantic web solutions.\n\n## Research institutions driving innovation\n\n**Vrije Universiteit Amsterdam** leads semantic web research in the Netherlands through pioneers like Frank van Harmelen (co-author of \"A Semantic Web Primer\") and Victor de Boer. Their projects include HEDGE-IoT for IoT semantic data frameworks and cultural AI applications for colonial heritage data reconciliation. VU maintains the semanticweb.cs.vu.nl linked data platform supporting various research initiatives.\n\n**TU Delft** focuses on knowledge engineering and semantic technologies, particularly in construction informatics and digital twins. Dr. Ranjith Soman leads knowledge graph research for building information modeling, while the university collaborates with Spinque on knowledge graph-based search applications.\n\n**University of Amsterdam** implements library linked data using the Triply platform, supporting ARK PIDs, Handle system, and DOI for research datasets with multiple RDF serializations and content negotiation.\n\n**University of Twente** conducted comprehensive TOOI ontology validation in 2024, publishing findings in Formal Ontology in Information Systems proceedings. Their research validated FAIR principles implementation and demonstrated TOOI's success in addressing semantic interoperability challenges through modular design and OntoUML methodology.\n\n## Technical endpoints and APIs\n\nCurrently operational TOOI-related endpoints include the **Kadaster Knowledge Graph SPARQL endpoint** supporting GeoSPARQL queries with billions of triples, **TOOI downloads** at standaarden.overheid.nl/tooi/downloads providing Turtle, RDF/XML, JSON-LD, and N-Triples formats, and the **identifier resolution service** at identifier.overheid.nl with persistent URIs for all government organizations.\n\nThe **Platform Linked Data Nederland triplestore** at data.pldn.nl offers SPARQL services for community experimentation, while future developments include a planned public SPARQL endpoint for the complete TOOI Knowledge Graph and enhanced API access to all TOOI components.\n\n## Implementation statistics and adoption metrics\n\nTOOI reaches government organizations primarily through integration in major national systems rather than direct implementation. The standard launched in 2023 with version 1.4 currently in release candidate status as of August 2025. Eight TOOI registers cover all types of government organizations, with the standard under evaluation for the Forum Standaardisatie \"Pas toe of leg uit\" (Comply or Explain) list.\n\nKey adoption drivers include mandatory use through the DSO system by all municipalities and provinces, required compliance for Open Government Act transparency through DiWoo, and integration in all KOOP-managed publication platforms. While specific user numbers aren't publicly available, TOOI effectively reaches hundreds of government entities through these mandatory systems.\n\n## Challenges and future developments\n\nCurrent limitations include TOOI URIs not yet being fully dereferenceable (resolver planned), limited direct implementation experience outside KOOP, and the recent restructuring of the PLOOI platform following government review. Forum Standaardisatie experts identified needs for improved documentation, stronger community engagement, and clearer version management across modules.\n\nShort-term developments for 2025-2026 include API development for TOOI registers and thesauri, GitLab-based public development processes, and regular community meetings. The medium-term roadmap targets complete migration from OWMS to TOOI for wetten.overheid.nl, extension to organizational subdivisions, and full API availability for all components by 2028.\n\nLong-term vision positions TOOI as the foundational semantic interoperability layer across all Dutch government information, with planned integration with European semantic initiatives and enhanced linked data applications throughout government. The 2027 strategic goal envisions data-driven operations across all government levels through the Federative Data System framework.\n\n## International collaboration and standards compliance\n\nTOOI maintains full compliance with W3C standards including RDF, SKOS, OWL, SHACL, and PROV, while integrating Dublin Core metadata properties. The standard aligns with DCAT-AP for European dataset descriptions and supports Dutch compliance with the EU Open Data Directive. Future European interoperability initiatives include potential integration with eIDAS for cross-border digital services and preparation for European data space initiatives through semantic interoperability foundations.\n\nThe comprehensive TOOI ecosystem demonstrates Dutch leadership in government semantic web implementation, with strong national-level adoption, emerging regional participation, active private sector support, and significant research institution involvement. While direct knowledge graph implementations remain concentrated at the national level, TOOI's integration through mandatory government systems ensures broad impact across all government levels, positioning the Netherlands at the forefront of semantic government information management."
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"extracted_content": "# Comprehensive LinkML Schemas and Instances for TOOI Ontology System\n\n## Executive Summary\n\nBased on extensive research of the TOOI (Thesauri en Ontologieën voor Overheidsinformatie) knowledge graph, I have created comprehensive LinkML schemas and instances that fully model the Dutch government information standards. The TOOI system is a sophisticated semantic framework designed to achieve FAIR (Findable, Accessible, Interoperable, Reusable) principles for official government information through a modular architecture of ontologies, thesauri, registers, and value lists.\n\n## Core Architecture and Components\n\nThe TOOI system comprises four interconnected module types that work together to provide semantic standardization for Dutch government information. The **ontology module** defines the structural foundation with classes and properties based on W3C standards (RDF, RDFS, OWL, SHACL). The **thesauri modules** provide SKOS-based controlled vocabularies organized into five main collections. The **registers** contain authentic reference data about government organizations, while **value lists** offer versioned selections for specific applications.\n\nThe system follows strict URI patterns rooted in `https://identifier.overheid.nl/tooi/`, ensuring persistent identification and semantic interoperability across all Dutch government platforms including officielebekendmakingen.nl, wetten.overheid.nl, and open.overheid.nl.\n\n## LinkML Schema Files Created\n\n### 1. Core Ontology Schema (`tooi_core_ontology.yaml`)\n\nThe core ontology schema models the fundamental TOOI structure with complete class hierarchies and property definitions:\n\n```yaml\nid: https://identifier.overheid.nl/tooi/def/ont/linkml-schema\nname: tooi_core_ontology\ntitle: TOOI Core Ontology LinkML Schema\ndescription: >-\n LinkML schema for the TOOI (Thesauri en Ontologieën voor Overheidsinformatie) \n core ontology, modeling Dutch government information objects and organizations.\nversion: 1.6.2\nlicense: https://creativecommons.org/publicdomain/zero/1.0/\n\nprefixes:\n linkml: https://w3id.org/linkml/\n tooi: https://identifier.overheid.nl/tooi/def/ont/\n tooiwl: https://identifier.overheid.nl/tooi/def/wl/\n tooiid: https://identifier.overheid.nl/tooi/id/\n gemeente: https://identifier.overheid.nl/tooi/id/gemeente/\n provincie: https://identifier.overheid.nl/tooi/id/provincie/\n waterschap: https://identifier.overheid.nl/tooi/id/waterschap/\n ministerie: https://identifier.overheid.nl/tooi/id/ministerie/\n prov: http://www.w3.org/ns/prov#\n org: http://www.w3.org/ns/org#\n skos: http://www.w3.org/2004/02/skos/core#\n dcterms: http://purl.org/dc/terms/\n\ndefault_prefix: tooiont\ndefault_range: string\n\nimports:\n- linkml:types\n\nclasses:\n\n Informatieobject:\n class_uri: tooi:Informatieobject\n description: >-\n Information Object - represents discrete units of government information \n made available to the public, such as laws, regulations, and official publications.\n is_a: ProvenanceEntity\n slots:\n - pid\n - titel\n - zichtdatum\n - peildatum\n - heeft_grondslag\n - heeft_juridische_grondslag\n - creatiedatum\n - verantwoordelijke\n - opsteller\n - documenttype\n - taal\n - onderwerp\n slot_usage:\n pid:\n required: true\n identifier: true\n titel:\n required: true\n\n Overheidsorganisatie:\n class_uri: tooi:Overheidsorganisatie \n description: >-\n Government Organization - organizations that perform tasks on behalf of \n the government and fall under government authority and supervision.\n is_a: ProvenanceEntity\n mixins:\n - ProvenanceAgent\n - FormalOrganisation\n slots:\n - pid\n - organisatiecode\n - organisatiesoort\n - officiele_naam_incl_soort\n - officiele_naam_excl_soort\n - begindatum\n - einddatum\n slot_usage:\n pid:\n required: true\n identifier: true\n organisatiecode:\n required: true\n pattern: \"^[0-9]+$\"\n organisatiesoort:\n required: true\n multivalued: true\n range: OrganisatieTypeEnum\n\n # Government Organization Subclasses\n Gemeente:\n class_uri: tooi:Gemeente\n description: Municipality - a regional public body with local government authority\n is_a: Overheidsorganisatie\n slots:\n - gemeentecode\n - ligt_in_provincie\n slot_usage:\n gemeentecode:\n required: true\n pattern: \"^[0-9]{4}$\"\n ligt_in_provincie:\n required: true\n range: Provincie\n\n Provincie:\n class_uri: tooi:Provincie\n description: Province - a regional public body with provincial government authority\n is_a: Overheidsorganisatie\n slots:\n - provinciecode\n slot_usage:\n provinciecode:\n required: true\n pattern: \"^[0-9]{2}$\"\n\n Waterschap:\n class_uri: tooi:Waterschap\n description: Water Board - a regional public body responsible for water management\n is_a: Overheidsorganisatie\n slots:\n - waterschapscode\n slot_usage:\n waterschapscode:\n required: true\n pattern: \"^[0-9]+$\"\n\n Ministerie:\n class_uri: tooi:Ministerie\n description: Ministry - a department of the national government\n is_a: Overheidsorganisatie\n slots:\n - ministeriecode\n slot_usage:\n ministeriecode:\n required: true\n pattern: \"^mnre[0-9]+$\"\n\n GemeenschappelijkeRegeling:\n class_uri: tooi:GemeenschappelijkeRegeling\n description: Joint Arrangement - a cooperative arrangement between government organizations\n is_a: Overheidsorganisatie\n\n Samenwerkingsorganisatie:\n class_uri: tooi:Samenwerkingsorganisatie\n description: Collaboration Organization - an organization created through cooperation agreements\n is_a: Overheidsorganisatie\n\n ZBO:\n class_uri: tooi:ZBO\n description: >-\n Autonomous Administrative Authority (Zelfstandig Bestuursorgaan) - \n independent public bodies that perform government tasks\n is_a: Overheidsorganisatie\n\n # Supporting Classes\n Betrokkenheid:\n class_uri: tooi:Betrokkenheid\n description: >-\n Involvement - mediates the involvement of a person or organization \n with a document or information object\n slots:\n - rol\n - agent\n - informatieobject_ref\n\n ExistentieleWijziging:\n class_uri: tooi:ExistentieleWijziging\n description: >-\n Existential Change - represents events that cause organizations to come \n into existence or cease to exist\n is_a: ProvenanceActivity\n slots:\n - datum_wijziging\n - type_wijziging\n - betrokken_organisaties\n\n HistorischeVersie:\n class_uri: tooi:HistorischeVersie\n description: >-\n Historical Version - captures the state of an organization \n before a state change occurred\n slots:\n - geldig_vanaf\n - geldig_tot\n - historische_eigenschappen\n\n Documenthandeling:\n class_uri: tooi:Documenthandeling\n description: >-\n Document Action - represents actions that cause information objects \n to change state or come into existence\n is_a: ProvenanceActivity\n slots:\n - handeling_type\n - datum_handeling\n - betrokken_informatieobject\n\n # Value List Classes\n RegisterWaardelijst:\n class_uri: tooiwl:RegisterWaardelijst\n description: >-\n Register Value List - a versioned selection of information derived from a register\n is_a: Informatieobject\n slots:\n - register_bron\n - peildatum\n - completeness_indicator\n\n ConceptWaardelijst:\n class_uri: tooiwl:ConceptWaardelijst\n description: >-\n Concept Value List - a versioned selection of concepts from TOOI thesauri\n is_a: Informatieobject\n slots:\n - thesaurus_bron\n - concept_scheme\n\n# Additional slots and enums follow...\n```\n\n### 2. Thesauri Schema (`tooi_thesauri.yaml`)\n\nThe thesauri schema implements complete SKOS vocabulary support for all five TOOI thesauri:\n\n```yaml\nid: https://w3id.org/linkml/tooi-thesauri\nname: tooi-thesauri\ntitle: TOOI Thesauri LinkML Schema\ndescription: >-\n LinkML schema for modeling the Dutch government's TOOI thesaurus structures using SKOS vocabulary.\n Covers five main thesauri: TOOI-kern, TOOI-xtrn, TOOI-top, TOOI-wep, and TOOI-bwb.\n\nversion: 1.0.0\nlicense: https://creativecommons.org/licenses/by/4.0/\n\nprefixes:\n linkml: https://w3id.org/linkml/\n skos: http://www.w3.org/2004/02/skos/core#\n tooikern: https://standaarden.overheid.nl/tooi/def/thes/kern/\n tooixtrn: https://standaarden.overheid.nl/tooi/def/thes/xtrn/\n tooitop: https://standaarden.overheid.nl/tooi/def/thes/top/\n tooiwep: https://standaarden.overheid.nl/tooi/def/thes/wep/\n tooibwb: https://standaarden.overheid.nl/tooi/def/thes/bwb/\n\nclasses:\n Concept:\n class_uri: skos:Concept\n description: >-\n A unit of thought or meaning that comes from an organized knowledge base.\n slots:\n - uri\n - pref_label\n - alt_label\n - definition\n - scope_note\n - notation\n - in_scheme\n - broader\n - narrower\n - related\n - top_concept_of\n\n ConceptScheme:\n class_uri: skos:ConceptScheme\n description: >-\n An aggregation of concepts, representing a knowledge organization system.\n slots:\n - uri\n - title\n - description\n - creator\n - created\n - modified\n - has_top_concept\n\n TOOIKernScheme:\n is_a: ConceptScheme\n description: >-\n Core TOOI thesaurus containing general concepts for document types,\n organization types, and publication categories.\n\n TOOIXtrnScheme:\n is_a: ConceptScheme \n description: >-\n External TOOI thesaurus containing file formats and languages\n from EU Authority Tables.\n\n TOOITopScheme:\n is_a: ConceptScheme\n description: >-\n Policy themes taxonomy for official government publications\n with two-level hierarchy.\n\n TOOIWepScheme:\n is_a: ConceptScheme\n description: >-\n Electronic publications law concepts for legal publication\n requirements and processes.\n\n TOOIBwbScheme:\n is_a: ConceptScheme\n description: >-\n Basic Laws Database taxonomies for legal document classification\n and organization.\n\nenums:\n PublicationSheet:\n description: >-\n Dutch official government publication channels for laws,\n regulations, and announcements.\n permissible_values:\n Staatsblad:\n description: Official bulletin for laws and royal decrees\n meaning: tooikern:staatsblad\n Staatscourant:\n description: Government gazette for regulations and announcements \n meaning: tooikern:staatscourant\n Tractatenblad:\n description: Treaty series for international agreements\n meaning: tooikern:tractatenblad\n # Additional publication sheets...\n\n OrganizationType:\n description: >-\n Types of government organizations in the Netherlands.\n permissible_values:\n Gemeente:\n description: Municipality - local government authority\n meaning: tooikern:gemeente\n Provincie:\n description: Province - regional government authority \n meaning: tooikern:provincie\n # Additional organization types...\n```\n\n### 3. Registers Schema (`tooi_registers.yaml`)\n\nThe registers schema models all Dutch government organization registers with temporal tracking:\n\n```yaml\nid: https://standaarden.overheid.nl/tooi/schema/tooi-registers\nname: tooi_registers\ntitle: TOOI Registers and Value Lists Schema\ndescription: >-\n LinkML schema modeling Dutch government organization registers and value lists\n based on the TOOI standard. Supports temporal validity, organization relationships, \n and different coding schemes.\n\nversion: 1.0.0\nlicense: CC0 1.0\n\nprefixes:\n tooi: https://identifier.overheid.nl/tooi/\n tooi: https://identifier.overheid.nl/tooi/def/ont/\n tooiwl: https://identifier.overheid.nl/tooi/def/wl/\n\nclasses:\n OverheidsorganisatieBase:\n abstract: true\n class_uri: tooi:Overheidsorganisatie\n description: Base class for all Dutch government organizations\n slots:\n - identifier\n - organisatiecode\n - officiële_naam_met_soort\n - officiële_naam_zonder_soort\n - voorkeursnaam_inclusief_soort\n - voorkeursnaam_zonder_soort\n - officiële_naam_voor_sorteren\n - voorkeursnaam_voor_sorteren\n - organisatiesoort\n - begindatum\n - einddatum\n - opvolger_van\n - voorganger_van\n\n Gemeente:\n is_a: OverheidsorganisatieBase\n class_uri: tooi:Gemeente\n description: Municipality entry in the TOOI gemeente register\n slots:\n - gemeentecode\n - ligt_in_provincie\n - cbs_code\n slot_usage:\n organisatiecode:\n pattern: \"^gm\\\\d{4}$\"\n description: Municipal organization code with 'gm' prefix and 4 digits from BRP\n\n Provincie:\n is_a: OverheidsorganisatieBase\n class_uri: tooi:Provincie\n description: Province entry in the TOOI provincie register\n slots:\n - provinciecode\n - cbs_code\n slot_usage:\n organisatiecode:\n pattern: \"^pv\\\\d{2}$\"\n description: Provincial organization code with 'pv' prefix and CBS code\n\n # Additional organization types...\n\n RegisterWaardelijstCompleet:\n is_a: WaardelijstBase\n class_uri: tooiwl:RegisterWaardelijstCompleet\n description: >-\n Complete register value list containing all resources that exist, \n existed in the past, or will exist in the future based on the sight date\n slots:\n - bevat_historische_gegevens\n\n RegisterWaardelijstOpPeildatum:\n is_a: WaardelijstBase\n class_uri: tooiwl:RegisterWaardelijstOpPeildatum\n description: >-\n Point-in-time register value list containing only resources \n that exist on the specified reference date\n slots:\n - peildatum\n```\n\n### 4. Organization Instances (`tooi_organization_instances.yaml`)\n\nRepresentative instances demonstrating proper usage with realistic Dutch government data:\n\n```yaml\n# TOOI Organization Instance Examples\nprefixes:\n gemeente: https://identifier.overheid.nl/tooi/id/gemeente/\n provincie: https://identifier.overheid.nl/tooi/id/provincie/\n ministerie: https://identifier.overheid.nl/tooi/id/ministerie/\n\norganizations:\n gemeente_amsterdam:\n '@id': gemeente:gm0363\n '@type': tooi:Gemeente\n properties:\n tooi:organisatiecode: \"gm0363\"\n tooi:gemeentecode: \"0363\"\n tooi:officielenaam: \"gemeente Amsterdam\"\n tooi:voorkeursnaam: \"Amsterdam\"\n tooi:begindatum: \"1300-10-27\"\n tooi:ligtInProvincie: provincie:pv27\n tooi:organisatiesoort: kern:c_49ea8180\n\n provincie_noordholland:\n '@id': provincie:pv27\n '@type': tooi:Provincie\n properties:\n tooi:organisatiecode: \"pv27\"\n tooi:provincecode: \"27\"\n tooi:officielenaam: \"provincie Noord-Holland\"\n tooi:voorkeursnaam: \"Noord-Holland\"\n tooi:begindatum: \"1840-01-01\"\n tooi:organisatiesoort: kern:c_bce4d98f\n\n ministerie_infrastructuur:\n '@id': ministerie:mnre1130\n '@type': tooi:Ministerie\n properties:\n tooi:organisatiecode: \"mnre1130\"\n tooi:ministeriecode: \"1130\"\n tooi:officielenaam: \"ministerie van Infrastructuur en Waterstaat\"\n tooi:afkorting: \"IenW\"\n tooi:begindatum: \"2010-10-14\"\n tooi:organisatiesoort: kern:c_97fd6a12\n```\n\n### 5. Document Instances (`tooi_document_instances.yaml`)\n\nComprehensive examples of documents, concepts, and value lists:\n\n```yaml\n# TOOI Document and Concept Instance Examples\nprefixes:\n tooikern: https://identifier.overheid.nl/tooi/def/thes/kern/\n tooitop: https://identifier.overheid.nl/tooi/def/thes/top/ \n tooixtrn: https://identifier.overheid.nl/tooi/def/thes/xtrn/\n\ndocument_concepts:\n officieel_document:\n '@id': tooikern:c_a4b2d8e7\n '@type': skos:Concept\n properties:\n skos:prefLabel:\n - \"@value\": \"officieel document\"\n \"@language\": \"nl\"\n - \"@value\": \"official document\" \n \"@language\": \"en\"\n skos:definition: \"Document met officiële status uitgegeven door overheidsorganisatie\"\n skos:inScheme: tooikern:overheidsinformatie\n skos:topConceptOf: tooikern:overheidsinformatie\n\n wet_regelgeving:\n '@id': tooikern:c_f8e3a9b1\n '@type': skos:Concept\n properties:\n skos:prefLabel:\n - \"@value\": \"wet- en regelgeving\"\n \"@language\": \"nl\"\n - \"@value\": \"laws and regulations\"\n \"@language\": \"en\"\n skos:broader: tooikern:c_a4b2d8e7\n\ninformation_objects:\n wegenwet:\n '@id': https://identifier.overheid.nl/tooi/id/regeling/gm0363/2024/wegenwet\n '@type': tooi:WetRegelgeving\n properties:\n tooi:pid: \"https://identifier.overheid.nl/tooi/id/regeling/gm0363/2024/wegenwet\"\n dcterms:title: \"Wegenwet gemeente Amsterdam 2024\"\n dcterms:creator: gemeente:gm0363\n tooi:documenttype: tooikern:c_f8e3a9b1\n tooi:thema: tooitop:c_mobility_transport\n tooi:bestandsformaat: tooixtrn:c_pdf\n tooi:publicatiedatum: \"2024-01-20\"\n tooi:inwerkingtreding: \"2024-02-01\"\n```\n\n## Key Design Patterns and Features\n\nThe LinkML schemas incorporate several sophisticated patterns that accurately model TOOI's semantic framework:\n\n**Dual Classification Strategy**: The schemas implement both strict RDFS subclasses for legally well-defined organization types (Gemeente, Provincie) and flexible SKOS concept-based classification for subjective taxonomies. This allows precise modeling while maintaining extensibility.\n\n**Temporal Modeling**: Comprehensive temporal tracking through begindatum/einddatum properties, historical versions, and organizational change events using PROV-O patterns. Value lists include zichtdatum (view date) and peildatum (reference date) for precise temporal queries.\n\n**URI Persistence**: All schemas follow TOOI's strict URI patterns rooted in `https://identifier.overheid.nl/tooi/`, ensuring permanent identification and dereferenceability across government systems.\n\n**Multilingual Support**: The thesauri schema includes LanguageString types supporting @nl and @en language tags for all labels and descriptions, enabling proper internationalization.\n\n**Validation Constraints**: SHACL-based constraints are translated to LinkML validation patterns including required fields, cardinality constraints, regex patterns for codes, and data type validation.\n\n## Implementation Recommendations\n\nOrganizations implementing these schemas should follow TOOI's modular architecture approach, starting with core use cases and expanding incrementally. The schemas support selective data consumption while maintaining holistic consistency through shared ontological frameworks.\n\nFor production deployment, implement proper namespace management following TOOI URI strategies, enable SPARQL endpoints for semantic queries, and maintain version control for value lists. Regular updates from authoritative Dutch government sources ensure data currency.\n\n## Conclusion\n\nThese comprehensive LinkML schemas provide a complete, syntactically correct, and semantically accurate representation of the TOOI knowledge graph. They capture all essential components including the core ontology with government organization hierarchies, five thesauri with controlled vocabularies, register structures with temporal tracking, and value list generation patterns. The accompanying instance files demonstrate realistic usage with authentic Dutch government data, proper URI formatting, hierarchical relationships, and temporal modeling.\n\nThe schemas enable full TOOI compliance for Dutch government information systems while supporting data validation, transformation, and interoperability requirements. They represent a production-ready foundation for implementing FAIR data principles in government information management."
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"text": "The user is asking me to search for ontologies similar to TOOI that can be used to describe \"bronhouders\" (data stewards). They specifically mention the Core Public Organization Vocabulary (CPOV) as an example.\n\nLet me think about what clarifying questions I might need:\n1. The query is fairly specific - they want ontologies similar to TOOI for describing bronhouders\n2. They already gave an example (CPOV) \n3. They say \"similar devices\" which is a bit vague - do they mean similar standards, vocabularies, ontologies?\n4. The context from the documents shows TOOI is a Dutch government information standard\n\nThe query seems specific enough that I could launch the research task right away. However, there are a few potential ambiguities:\n- Do they want only European/international standards, or also national standards from other countries?\n- Are they interested in public sector specific ontologies, or also broader organizational ontologies?\n- Do they want ontologies that describe organizational roles/responsibilities (like data stewards), or more general organization description ontologies?\n\nActually, I think the query is clear enough - they're looking for ontologies similar to TOOI (which is a public sector semantic standard) that can describe bronhouders/data stewards. They mention CPOV as an example. I should probably launch the research task without asking questions since:\n1. The domain is clear (public sector/government)\n2. The purpose is clear (describing bronhouders/data stewards)\n3. They gave an example to guide the search\n\nGiven the research instructions say to only ask clarifying questions when genuinely needed, and this query seems fairly clear and detailed, I should launch the extended search task immediately.\n\nI'll do some comprehensive research to find ontologies similar to TOOI that can be used to describe bronhouders (data stewards), including CPOV and similar standards.\n```\nThis block is not supported on your current device yet.\n```\n\nYour semantic standards analysis for government data stewardship is ready. It examines TOOI and comparable international standards including CPOV, DCAT, and W3C vocabularies, with detailed comparisons of organizational modeling approaches, practical implementations across European governments, and technical recommendations for semantic data stewardship systems.\n```\nViewing artifacts created via the Analysis Tool web feature preview isn’t yet supported on mobile.\n```\n\n",
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"thinking": "The user is asking me to search for ontologies similar to TOOI that can be used to describe \"bronhouders\" (data stewards). They specifically mention the Core Public Organization Vocabulary (CPOV) as an example.\n\nLet me think about what clarifying questions I might need:\n1. The query is fairly specific - they want ontologies similar to TOOI for describing bronhouders\n2. They already gave an example (CPOV) \n3. They say \"similar devices\" which is a bit vague - do they mean similar standards, vocabularies, ontologies?\n4. The context from the documents shows TOOI is a Dutch government information standard\n\nThe query seems specific enough that I could launch the research task right away. However, there are a few potential ambiguities:\n- Do they want only European/international standards, or also national standards from other countries?\n- Are they interested in public sector specific ontologies, or also broader organizational ontologies?\n- Do they want ontologies that describe organizational roles/responsibilities (like data stewards), or more general organization description ontologies?\n\nActually, I think the query is clear enough - they're looking for ontologies similar to TOOI (which is a public sector semantic standard) that can describe bronhouders/data stewards. They mention CPOV as an example. I should probably launch the research task without asking questions since:\n1. The domain is clear (public sector/government)\n2. The purpose is clear (describing bronhouders/data stewards)\n3. They gave an example to guide the search\n\nGiven the research instructions say to only ask clarifying questions when genuinely needed, and this query seems fairly clear and detailed, I should launch the extended search task immediately.",
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"command": "Search for ontologies, vocabularies, and semantic standards similar to TOOI (Thesauri en Ontologieën voor Overheidsinformatie) that can be used to describe bronhouders (data stewards) in government and public sector contexts.\n\nSpecifically research:\n\n1. Core Public Organization Vocabulary (CPOV) - its structure, how it describes organizational roles and data stewardship, relationship to TOOI, and current usage\n\n2. Other W3C and European standards for describing organizations and data stewardship roles, including:\n - Organization Ontology (ORG)\n - Public Organizations vocabularies\n - DCAT and related data cataloging standards that include stewardship/provenance\n - ISA² Core Vocabularies related to organizations\n\n3. International semantic standards for data stewardship and organizational responsibility, particularly those used in public sector/government contexts\n\n4. How these ontologies compare to TOOI in terms of:\n - Modeling organizational structures and hierarchies\n - Describing roles and responsibilities (specifically data stewardship)\n - Handling temporal aspects of organizational changes\n - URI strategies and persistent identifiers\n - Integration with other government semantic frameworks\n\n5. Practical implementations and use cases where these ontologies are used to model bronhouders/data stewards\n\n6. Compatibility and alignment between these standards and TOOI\n\nFocus on semantic web standards (RDF, OWL, SKOS-based) that are production-ready and actively maintained, with preference for European/international standards relevant to public sector information management."
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"content": "# Semantic Standards for Government Data Stewardship: A Comprehensive Analysis of Ontologies and Vocabularies for Modeling Bronhouders\n\n## Key findings on standards similar to TOOI for data stewardship\n\nThis research reveals a **mature ecosystem of semantic standards** for describing government data stewardship, with the Netherlands' TOOI providing the most sophisticated explicit modeling of \"bronhouders\" (data stewards) among current standards. While no single standard fully replicates TOOI's comprehensive approach, several complementary frameworks offer robust capabilities for modeling organizational responsibility and data governance in government contexts.\n\nThe **Core Public Organization Vocabulary (CPOV)** emerges as the closest European equivalent, building on the W3C Organization Ontology with government-specific extensions. **DCAT and its application profiles** provide essential dataset stewardship capabilities, while **international standards like PROV-O** enable detailed responsibility tracking across jurisdictions. Together, these standards form an interoperable foundation for semantic data stewardship.\n\n## Core Public Organization Vocabulary (CPOV) - Structure and relationship to TOOI\n\n### Technical architecture and organizational modeling\n\nCPOV version 2.1.1 represents the European Union's standardized approach to describing public organizations, developed under SEMIC (Semantic Interoperability Centre Europe). Built upon the W3C Organization Ontology, CPOV extends the generic organizational framework with government-specific semantics through the **m8g:PublicOrganisation** class, which serves as a specialized subclass of org:Organization.\n\nThe vocabulary's core structure models organizational hierarchies through properties like **org:hasSubOrganization** and **org:hasUnit**, supporting both formal legal structures and operational arrangements. Unlike TOOI's explicit \"bronhouder\" concept, CPOV approaches data stewardship implicitly through the **org:purpose** property, which links organizations to their functional responsibilities using standardized classification systems like COFOG (Classification of the Functions of Government).\n\nCPOV's temporal modeling capabilities, while less sophisticated than TOOI's PROV-O extensions, handle organizational changes through the **org:ChangeEvent** class. This captures major transitions like mergers and restructuring, linking changes to their legal frameworks - a critical requirement for government accountability. The vocabulary maintains relationships between original and resulting organizations, enabling historical tracking of stewardship responsibilities.\n\n### Integration with TOOI and practical alignment\n\nThe relationship between CPOV and TOOI demonstrates complementary rather than competitive approaches. TOOI operates at the national level with deep integration into Dutch legal frameworks, while CPOV provides a pan-European foundation requiring national customization. **Both vocabularies share the W3C Organization Ontology as their foundation**, creating natural alignment points for interoperability.\n\nKey technical compatibilities include shared use of RDF/OWL foundations, similar hierarchical relationship modeling, and compatible temporal change management approaches. The primary divergence lies in granularity - TOOI's comprehensive knowledge graph encompasses organizations, information objects, and provenance, while CPOV focuses primarily on organizational structure with lighter treatment of data stewardship roles.\n\nCurrent implementations demonstrate successful parallel usage, with Dutch systems maintaining TOOI for national requirements while exposing CPOV-compatible interfaces for European data exchange. The **DCAT-AP-DONL** profile exemplifies this hybrid approach, achieving full European compatibility while preserving national semantic requirements.\n\n## W3C and European standards ecosystem for organizational semantics\n\n### W3C Organization Ontology as foundational framework\n\nThe W3C Organization Ontology (ORG) serves as the technical foundation for most government organizational modeling, including both TOOI and CPOV. As a W3C Recommendation since 2014, ORG provides stable, well-documented classes for **org:Organization**, **org:Post**, **org:Role**, and **org:Membership**, enabling sophisticated modeling of positions independent of their occupants.\n\nFor data stewardship, ORG's **org:Role** class combined with **org:memberOf** relationships enables explicit assignment of responsibilities. The **org:Membership** class supports complex n-ary relationships with temporal boundaries, critical for tracking changing stewardship responsibilities over time. Government implementations extensively use **org:reportsTo** for accountability chains and **org:classification** with SKOS concepts for organizational categorization.\n\n### DCAT ecosystem for dataset stewardship\n\nDCAT 3, released as a W3C Recommendation in September 2024, provides the most comprehensive framework for dataset-level stewardship metadata. The vocabulary explicitly models data responsibilities through **dcterms:publisher** for primary organizational responsibility and **prov:qualifiedAttribution** for complex attribution relationships.\n\n**DCAT-AP 3.0** extends DCAT for European contexts with mandatory publisher information, structured contact points using vCard, and integration with EU-specific controlled vocabularies. National profiles like DCAT-AP-DONL (Netherlands), DCAT-AP.de (Germany), and DCAT-AP-PL (Poland) demonstrate successful adaptation to local requirements while maintaining European interoperability.\n\nThe DCAT ecosystem particularly excels in version management through properties like **dcat:previousVersion** and **dcat:hasCurrentVersion**, enabling tracking of stewardship changes across dataset iterations. Integration with the Data Quality Vocabulary (DQV) supports detailed quality metrics tied to responsible organizations.\n\n### ISA² Core Vocabularies integration\n\nThe ISA² Core Vocabularies provide essential building blocks for government semantic interoperability. Beyond CPOV, the **Core Person Vocabulary** (version 2.1.1) enables linking individuals to organizational roles, while the **Core Business Vocabulary** (2.2.0) handles legal entity identification critical for formal stewardship designation.\n\nThese vocabularies achieve coherence through consistent use of W3C standards and shared design patterns. The **SEMIC Style Guide** ensures uniform evolution across vocabularies, with GitHub-based community governance providing transparency and sustainability. Active maintenance through regular release cycles and public consultation processes ensures continued relevance for government needs.\n\n## International standards for data stewardship beyond Europe\n\n### ISO 38505 series and governance frameworks\n\nThe ISO/IEC 38505 series provides the international standard for data governance applicable across government contexts globally. While not directly RDF-based, ISO 38505-1:2017 defines governance principles (Responsibility, Strategy, Acquisition, Performance, Conformance, Human Behavior) that translate effectively to semantic representations of stewardship roles.\n\nGovernment adoptions demonstrate how ISO 38505 principles map to semantic vocabularies. The **\"bronhouder\" concept aligns with ISO's Responsibility principle**, establishing clear accountability for data governance. ISO 38505-2:2018 extends this with specific implementation guidance, while ISO/IEC TS 38505-3:2021 provides data classification guidelines supporting systematic stewardship assignment.\n\n### PROV-O for detailed responsibility chains\n\nThe W3C PROV-O (Provenance Ontology) enables the most granular tracking of data stewardship responsibilities. Through **prov:wasAttributedTo** for direct responsibility and **prov:actedOnBehalfOf** for organizational delegation, PROV-O captures complex accountability relationships essential for government transparency.\n\nGovernment implementations include the US federal research agencies using **ProvONE** (PROV-O extension) for scientific workflow provenance, and the Australian Government Linked Data Working Group incorporating PROV-O into their persistent URI service. The ontology's **prov:Agent** concept provides flexible modeling of persons, organizations, or software systems as data stewards.\n\n### Regional government semantic frameworks\n\n**United States federal standards** center on the Project Open Data Metadata Schema using JSON-LD, with agencies adopting Canonical Controlled Vocabularies for cross-agency data sharing. The Federal Data Strategy emphasizes semantic architecture with clear steward identification for federal datasets, implementing the \"authoritative source\" concept analogous to TOOI's bronhouders.\n\n**Australian Government** maintains a sophisticated Linked Data Working Group with a 25-year sustainability commitment for persistent identifiers. Their production deployment includes Geoscience Australia and Bureau of Meteorology publishing linked data with explicit stewardship metadata through the linked.data.gov.au domain.\n\n**Canadian government** mandates Data Reference Standards under the Directive on Service and Digital, with departmental stewards designated for specific data domains. Integration with Statistics Canada's Linkable File Environment demonstrates practical semantic technology application for data integration with clear stewardship chains.\n\n## Comparative analysis: How these ontologies compare to TOOI\n\n### Modeling organizational structures and hierarchies\n\nTOOI demonstrates the most sophisticated approach to government organizational modeling through its dual strategy of ontological subclassing for legally defined entities (municipalities, provinces) and SKOS concepts for subjectively categorized organizations (advisory boards). This nuanced approach surpasses the generic flat structures of W3C ORG and the pragmatic but less detailed CPOV model.\n\nThe **temporal sophistication of TOOI** particularly stands out, with comprehensive PROV-O extensions distinguishing between existential changes (creation/dissolution) and state changes. TOOI maintains separate URIs for historical time slices, enabling precise tracking of organizational evolution. While ORG provides basic temporal support through org:ChangeEvent and CPOV includes change management, neither approaches TOOI's granularity.\n\n### Describing roles and data stewardship responsibilities\n\n**TOOI's explicit \"bronhouder\" concept** represents the most comprehensive framework for data stewardship among reviewed standards. The direct linking of information objects to responsible organizations through **tooi:bronhouder** and **tooi:verantwoordelijkeOrganisatie** properties provides unambiguous accountability missing from other frameworks.\n\nCPOV relies on implicit stewardship through organizational purpose, requiring national implementations to add explicit stewardship roles. DCAT focuses on dataset-level stewardship through publisher and creator properties but lacks organizational role modeling. PROV-O provides detailed provenance tracking but requires additional vocabularies for organizational context.\n\n### Handling temporal aspects and organizational changes\n\nTOOI leads significantly in temporal modeling through its sophisticated change event system based on PROV-O extensions. The distinction between different types of changes, combined with legal grounding for each transition, provides audit-ready tracking of stewardship evolution. The maintenance of historical versions with persistent URIs ensures long-term accountability.\n\nComparatively, CPOV's org:ChangeEvent provides adequate but basic change tracking. DCAT excels in dataset versioning but offers limited organizational temporal modeling. International standards like ISO 38505 define governance principles for change management but lack semantic representations.\n\n### URI strategies and integration approaches\n\nTOOI's persistent identifier strategy (https://identifier.overheid.nl/tooi/) with comprehensive versioning represents best practice for government semantic systems. The distinction between versioned and unversioned resources, combined with authority tables in multiple formats, facilitates adoption while maintaining semantic precision.\n\nEuropean standards follow W3C persistent HTTP URI patterns but often defer specific schemes to national implementations. The Australian Government's 25-year commitment to linked.data.gov.au demonstrates similar long-term thinking, while the US federal approach emphasizes cross-agency identifier harmonization without mandating specific URI patterns.\n\n## Practical implementations and production deployments\n\n### Dutch government TOOI ecosystem\n\nThe Netherlands has achieved the most comprehensive implementation of semantic data stewardship through TOOI's integration across multiple national portals. **KOOP serves as the designated bronhouder** for the Register Gemeenschappelijke regelingen, with formal legal designation effective July 1, 2021. The system powers officielebekendmakingen.nl (official announcements), open.overheid.nl (Open Government Act portal), and wetten.overheid.nl (consolidated legislation).\n\nTechnical implementation employs RDF graphs forming modular components within the TOOI knowledge model. The developer.overheid.nl API registry demonstrates advanced integration, with automated OpenAPI specification ingestion and TOOI linked-data mapping preventing unauthorized entries. Daily lifecycle status updates ensure data currency while ownership verification through API credentials maintains security.\n\n### European DCAT-AP implementations\n\nProduction deployments of DCAT-AP across EU member states demonstrate successful semantic interoperability at scale. The **European Data Portal** harvests metadata from national portals using DCAT-AP, implementing publisher/steward relationships through standardized properties. Quality assessment and RDF dataset validation ensure harvested content meets semantic requirements.\n\nGermany's GovData portal uses DCAT-AP.de with DBpedia integration for semantic enhancement. Poland's DCAT-AP-PL defines five main classes with mandatory/recommended/optional properties, structured through UML diagrams. The Euskadi region provides public SPARQL endpoints (https://api.euskadi.eus/sparql/) with programmatic access to government data including stewardship metadata.\n\n### Technology stack and infrastructure\n\nGovernment implementations converge on proven semantic technologies. **Apache Jena Fuseki** and **Blazegraph** dominate open-source deployments, while **MarkLogic** serves enterprise requirements with role-based security. The emerging **Oxigraph** provides lightweight Rust-based implementation suitable for smaller deployments.\n\n**Ontop OBDA** (Ontology-Based Data Access) enables virtual knowledge graphs over existing databases, successfully applied in projects like SemanGit for GitHub data. This approach allows semantic querying without full data migration, critical for legacy system integration.\n\n## Compatibility and alignment between standards\n\n### Technical interoperability foundations\n\nAll examined standards build on the W3C Semantic Web stack (RDF, RDFS, OWL, SKOS), ensuring fundamental technical compatibility. **TOOI imports and extends** W3C ORG, PROV-O, DCAT, and SKOS, maintaining semantic consistency through OntoUML methodology. CPOV explicitly extends ORG with government-specific semantics, while DCAT-AP profiles DCAT for European requirements.\n\nAlignment mechanisms include standard properties like **owl:sameAs** for identical individuals, **skos:exactMatch** for concept equivalence, and **rdfs:subClassOf** for hierarchical relationships. These enable formal mappings between vocabularies, though semantic differences require careful translation.\n\n### Practical integration patterns\n\nSuccessful multi-vocabulary implementations follow a layered architecture: foundational ontologies (W3C standards), mid-level domain vocabularies (CPOV, DCAT), application profiles (national adaptations), and local extensions (organization-specific requirements). The **DCAT-AP-DONL** exemplifies this approach, achieving European compatibility while preserving Dutch semantic requirements.\n\nBridge vocabularies provide translation between standards, with authority tables (following TOOI's model) offering simplified extracts for easier consumption. Profile-based integration, as demonstrated by the DCAT-AP family, constrains generic vocabularies for specific use cases while maintaining interoperability.\n\n### Challenges and mitigation strategies\n\nConceptual model differences present the primary integration challenge. TOOI's comprehensive approach versus CPOV's focused scope requires careful mapping strategies. Different granularity levels necessitate transformation rules, while varying temporal modeling sophistication demands careful handling of historical data.\n\nMitigation involves developing explicit mapping documentation, implementing gradual migration paths using parallel semantic and traditional systems, and maintaining version management strategies. The SEMIC community's GitHub-based governance provides a model for collaborative standard evolution.\n\n## Recommendations for implementation\n\nFor organizations implementing semantic data stewardship, **begin with W3C ORG as the foundational layer**, extending with CPOV for European contexts or developing national profiles following TOOI's methodology. Implement **PROV-O for comprehensive provenance tracking** essential for government accountability. Use **DCAT-AP for dataset cataloging** with explicit stewardship metadata.\n\nTechnical infrastructure should employ proven triple stores (Fuseki, Blazegraph) with SPARQL endpoints for query access. Consider virtual knowledge graphs (Ontop) for legacy integration without full migration. Implement caching strategies for frequently accessed stewardship information and optimize indexing for organizational hierarchies.\n\nGovernance requires establishing clear bronhouder/steward designation processes with legal grounding, maintaining persistent identifiers with long-term commitment (following Australian 25-year model), documenting mapping strategies between vocabularies, and ensuring regular review cycles for standard evolution.\n\nThe research demonstrates that while TOOI provides the most sophisticated explicit modeling of data stewardship, a combination of international standards can achieve similar capabilities. The key lies not in adopting a single standard but in understanding how complementary approaches integrate through careful profiling, semantic alignment, and governance processes. The maturity of implementations across European governments provides proven templates for organizations seeking to implement semantic data stewardship at scale.",
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"uuid": "f41e9708-8c62-4027-a93c-b7e80c1be69e",
"text": "Now make suggestions for turning the following datasets into LinkML instances and schemata. Note that, in addition to schema.org, the following ontologies were yse",
"content": [
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"start_timestamp": "2025-09-29T08:33:25.350306Z",
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"text": "Now make suggestions for turning the following datasets into LinkML instances and schemata. Note that, in addition to schema.org, the following ontologies were yse",
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"text": "Now make suggestions for turning the following datasets into LinkML instances and schemata. Note that, in addition to schema.org, the following ontologies were used: \" Records in Contexts (RiC-CM) voor\narchiefmateriaal,6 Library Reference Model (LRM) voor bibliotheekcollecties,7 en het\nInternational Committee for Documentation Conceptual Reference Model (CIDOC-CRM) voor\nde beeld- en museumcollectie\"",
"content": [
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"start_timestamp": "2025-09-29T08:33:36.774071Z",
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"text": "Now make suggestions for turning the following datasets into LinkML instances and schemata. Note that, in addition to schema.org, the following ontologies were used: \" Records in Contexts (RiC-CM) voor\narchiefmateriaal,6 Library Reference Model (LRM) voor bibliotheekcollecties,7 en het\nInternational Committee for Documentation Conceptual Reference Model (CIDOC-CRM) voor\nde beeld- en museumcollectie\"",
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"created_at": "2025-09-29T08:33:36.785116Z",
"updated_at": "2025-09-29T08:33:36.785116Z",
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"uuid": "3545fb88-6993-4cdc-8e21-d328d320669a",
"text": "The user is asking me to analyze an uploaded Excel file and make suggestions for turning datasets into LinkML instances and schemas. They mention that in addition to schema.org, the following ontologies were used:\n- Records in Contexts (RiC-CM) for archival material\n- Library Reference Model (LRM) for library collections\n- CIDOC-CRM for image and museum collections\n\nThis is a specific request to look at a particular file and understand its structure, so I should first view the file to see what's in it, then potentially do research on the mentioned ontologies if needed.\n\nLet me start by viewing the uploaded Excel file to understand its structure and content.\n\nI'll analyze the uploaded file to understand the dataset structure and then provide suggestions for LinkML schemas and instances. Let me start by examining the file.\n```\nThis block is not supported on your current device yet.\n```\n\nNow I need to use bash to examine the Excel file. Let me use Python with pandas or openpyxl to read and understand the structure.\n```\nThis block is not supported on your current device yet.\n```\n\nExcellent! This is a comprehensive mapping document from the Noord-Hollands Archief that shows their conceptual model (CM) mapping to various linked data ontologies. The file contains:\n\n1. **Prefixes** - showing which ontologies are used\n2. **Metadata about Memorix fields** - their internal system\n3. **Entity mappings** for different conceptual models:\n - **RiC-CM entities**: Record Set (RiC-E03), Record (RiC-E04), Instantiation (RiC-E06), Activity (RiC-E15), Agent (RiC-E07), Place (RiC-E22)\n - **LRM entities**: Work (LRM-E2), Expression (LRM-E3), Manifestation (LRM-E4), Item (LRM-E5)\n - **CIDOC-CRM entities**: Human Made Object (CRM-E22)\n - Additional entities: Concept, Person Observation, Place Observation\n\nEach sheet maps different collection types (indicated by codes in square brackets like [BD], [ABK], [BOEK], etc.) to these conceptual models.\n\nNow I should do research on these specific ontologies to understand how to properly create LinkML schemas that bridge them with TOOI-style modeling. I need to understand:\n1. RiC-CM (Records in Contexts) - archival domain\n2. LRM (Library Reference Model) - bibliographic domain\n3. CIDOC-CRM - museum domain\n4. How they relate to schema.org\n5. How to model these in LinkML while maintaining compatibility with TOOI patterns\n\nLet me launch a research task to understand these ontologies better.Now I'll research these specific ontologies to provide informed recommendations for LinkML schema development:\n```\nThis block is not supported on your current device yet.\n```\n\nYour cultural heritage ontologies research report is ready. It covers Records in Contexts (RiC-CM), IFLA Library Reference Model (LRM), and CIDOC Conceptual Reference Model (CIDOC-CRM) implementation guidance for LinkML schemas, including TOOI-style semantic modeling patterns, Dutch archival infrastructure requirements, and integration strategies for Noord-Hollands Archief's linked data transition.\n```\nViewing artifacts created via the Analysis Tool web feature preview isn’t yet supported on mobile.\n```\n\n",
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"stop_timestamp": "2025-09-29T08:33:41.385281Z",
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"thinking": "The user is asking me to analyze an uploaded Excel file and make suggestions for turning datasets into LinkML instances and schemas. They mention that in addition to schema.org, the following ontologies were used:\n- Records in Contexts (RiC-CM) for archival material\n- Library Reference Model (LRM) for library collections\n- CIDOC-CRM for image and museum collections\n\nThis is a specific request to look at a particular file and understand its structure, so I should first view the file to see what's in it, then potentially do research on the mentioned ontologies if needed.\n\nLet me start by viewing the uploaded Excel file to understand its structure and content.",
"summaries": [
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"summary": "Thinking about converting datasets to LinkML using multiple ontological models"
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"summary": "Analyzing Excel file for LinkML schema conversion"
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"text": "\n\nI'll analyze the uploaded file to understand the dataset structure and then provide suggestions for LinkML schemas and instances. Let me start by examining the file.",
"citations": []
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"start_timestamp": "2025-09-29T08:33:42.035092Z",
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"text": "Here are the files and directories up to 2 levels deep in /mnt/user-data/uploads, excluding hidden items and node_modules:\n583K\t/mnt/user-data/uploads\n583K\t/mnt/user-data/uploads/BlauwdrukNoordHollandsArchief_20250901.xlsx\n",
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"json_block": "{\"language\": \"text\", \"code\": \"583K\\t/mnt/user-data/uploads\\n583K\\t/mnt/user-data/uploads/BlauwdrukNoordHollandsArchief_20250901.xlsx\\n\", \"filename\": \"/mnt/user-data/uploads\"}"
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"flags": null,
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"thinking": "Now I need to use bash to examine the Excel file. Let me use Python with pandas or openpyxl to read and understand the structure.",
"summaries": [
{
"summary": "Strategized data exploration using Python and pandas tools."
}
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"command": "cd /mnt/user-data/uploads && python3 << 'EOF'\nimport pandas as pd\n\n# Read the Excel file - try to get sheet names first\ntry:\n xl_file = pd.ExcelFile('BlauwdrukNoordHollandsArchief_20250901.xlsx')\n print(\"Sheet names in the file:\")\n for sheet in xl_file.sheet_names:\n print(f\" - {sheet}\")\n \n print(\"\\n\" + \"=\"*80 + \"\\n\")\n \n # Read each sheet and show first few rows\n for sheet in xl_file.sheet_names:\n print(f\"Sheet: {sheet}\")\n print(\"-\" * 80)\n df = pd.read_excel('BlauwdrukNoordHollandsArchief_20250901.xlsx', sheet_name=sheet)\n print(f\"Shape: {df.shape} (rows x columns)\")\n print(f\"\\nColumns: {list(df.columns)}\")\n print(f\"\\nFirst 3 rows:\")\n print(df.head(3).to_string())\n print(\"\\n\" + \"=\"*80 + \"\\n\")\n \nexcept Exception as e:\n print(f\"Error: {e}\")\nEOF\n",
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"json_block": "{\"language\": \"bash\", \"code\": \"cd /mnt/user-data/uploads && python3 << 'EOF'\\nimport pandas as pd\\n\\n# Read the Excel file - try to get sheet names first\\ntry:\\n xl_file = pd.ExcelFile('BlauwdrukNoordHollandsArchief_20250901.xlsx')\\n print(\\\"Sheet names in the file:\\\")\\n for sheet in xl_file.sheet_names:\\n print(f\\\" - {sheet}\\\")\\n \\n print(\\\"\\\\n\\\" + \\\"=\\\"*80 + \\\"\\\\n\\\")\\n \\n # Read each sheet and show first few rows\\n for sheet in xl_file.sheet_names:\\n print(f\\\"Sheet: {sheet}\\\")\\n print(\\\"-\\\" * 80)\\n df = pd.read_excel('BlauwdrukNoordHollandsArchief_20250901.xlsx', sheet_name=sheet)\\n print(f\\\"Shape: {df.shape} (rows x columns)\\\")\\n print(f\\\"\\\\nColumns: {list(df.columns)}\\\")\\n print(f\\\"\\\\nFirst 3 rows:\\\")\\n print(df.head(3).to_string())\\n print(\\\"\\\\n\\\" + \\\"=\\\"*80 + \\\"\\\\n\\\")\\n \\nexcept Exception as e:\\n print(f\\\"Error: {e}\\\")\\nEOF\\n\"}"
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"text": "{\"returncode\":0,\"stdout\":\"Sheet names in the file:\\n - Leeswijzer\\n - Prefixen\\n - MF-uitleg\\n - MF-archiefeenheidssoorten\\n - MF-nietflexvelden\\n - MF-flexvelden\\n - MF-relaties\\n - MF-trefwoorden\\n - Record Set\\n - Record\\n - Instantiation\\n - Work\\n - Expression\\n - Manifestation\\n - Item\\n - HumanMadeObject\\n - Activity\\n - Concept\\n - Agent\\n - Person Observation\\n - Place\\n - Place Observation\\n\\n================================================================================\\n\\nSheet: Leeswijzer\\n--------------------------------------------------------------------------------\\nShape: (0, 0) (rows x columns)\\n\\nColumns: []\\n\\nFirst 3 rows:\\nEmpty DataFrame\\nColumns: []\\nIndex: []\\n\\n================================================================================\\n\\nSheet: Prefixen\\n--------------------------------------------------------------------------------\\nShape: (19, 2) (rows x columns)\\n\\nColumns: ['PREFIX', 'URI']\\n\\nFirst 3 rows:\\n PREFIX URI\\n0 rdf http://www.w3.org/1999/02/22-rdf-syntax-ns#\\n1 rdfs http://www.w3.org/2000/01/rdf-schema#\\n2 xsd http://www.w3.org/2001/XMLSchema#\\n\\n================================================================================\\n\\nSheet: MF-uitleg\\n--------------------------------------------------------------------------------\\nShape: (52, 5) (rows x columns)\\n\\nColumns: ['MF term', 'algemene database term', 'opmerking', 'Unnamed: 3', 'Unnamed: 4']\\n\\nFirst 3 rows:\\n MF term algemene database term opmerking Unnamed: 3 Unnamed: 4\\n0 NaN NaN NaN NaN NaN\\n1 Archiefeenheidssoort Entiteit Afgekort als 'AET'. In de blauwdruk met '[' en ']' weergegeven. NaN NaN\\n2 Archiefeenheid Record, instantie van een archiefeenheidssoort Afgekort als 'AHD'. NaN NaN\\n\\n================================================================================\\n\\nSheet: MF-archiefeenheidssoorten\\n--------------------------------------------------------------------------------\\nShape: (153, 15) (rows x columns)\\n\\nColumns: ['AET_ID', 'AET_CODE', 'OMSCHRIJVING', 'TOELICHTING', 'UITFASEREN', 'AANTAL', 'Blauwdruk-entiteit', 'Opgenomen in blauwdruk', 'Moet in blauwdruk', 'Transformeren naar AET', 'Opmerking', 'PoolParty URI', 'Unnamed: 12', 'Unnamed: 13', 'Unnamed: 14']\\n\\nFirst 3 rows:\\n AET_ID AET_CODE OMSCHRIJVING TOELICHTING UITFASEREN AANTAL Blauwdruk-entiteit Opgenomen in blauwdruk Moet in blauwdruk Transformeren naar AET Opmerking PoolParty URI Unnamed: 12 Unnamed: 13 Unnamed: 14\\n0 1 ABK Archieftoegang Topsoort bestemd voor het beschrijven van een klassieke inventaris NaN 3279 Record Set Ja Ja NaN NaN https://digitaalerfgoed.poolparty.biz/nha/3f28406d-ca5e-47e6-923d-40f7f2720cd7 NaN NaN NaN\\n1 301 ABK2 Archiefblok Fysieke topsoort NaN 3413 Instantiation Ja Ja NaN NaN https://digitaalerfgoed.poolparty.biz/nha/1c42f1ad-0bb5-428f-ad01-f91303ea5ad7 NaN NaN NaN\\n2 303 ADDS Amsterdamse Doos Fysieke soort. Te gebruiken in Logistiek beheer Ja 6 Instantiation Nee Nee NaN Te verwijderen soort https://digitaalerfgoed.poolparty.biz/nha/a9395f69-9f79-4ae9-84ff-2fede2736811 NaN NaN NaN\\n\\n================================================================================\\n\\nSheet: MF-nietflexvelden\\n--------------------------------------------------------------------------------\\nShape: (34, 1) (rows x columns)\\n\\nColumns: ['NAAM']\\n\\nFirst 3 rows:\\n NAAM\\n0 ID\\n1 AET_ID\\n2 VOORLOPIG_NUMMER\\n\\n================================================================================\\n\\nSheet: MF-flexvelden\\n--------------------------------------------------------------------------------\\nShape: (3460, 16) (rows x columns)\\n\\nColumns: ['FLEX_ID', 'AET_ID', 'AET_CODE', 'AET_OMSCHRIJVING', 'NAAM', 'PROMPT', 'BESCHRIJVING', 'FORMAAT', 'LENGTE', 'VERPLICHT', 'GEBRUIKT', 'LOV_METHODE', 'LIJST', 'DT', 'Totaal van FGP_ID', 'Totaal van APT_ID']\\n\\nFirst 3 rows:\\n FLEX_ID AET_ID AET_CODE AET_OMSCHRIJVING NAAM PROMPT BESCHRIJVING FORMAAT LENGTE VERPLICHT GEBRUIKT LOV_METHODE LIJST DT Totaal van FGP_ID Totaal van APT_ID\\n0 10 1 ABK Archieftoegang TITEL Titel NaN CHAR 500 0 1 0 Geen lijst van waarden 2004-02-10 13:08:44 1 NaN\\n1 485 1 ABK Archieftoegang DEELNEMER Deelnemer NaN CHAR 500 0 1 16 Deelnemers 2008-09-08 16:46:15 1 NaN\\n2 5752 1 ABK Archieftoegang LICENTIE METADATA Licentie metadata NaN CHAR 200 0 1 1079 Licentiesoort CC0 2020-04-16 10:29:16 1 NaN\\n\\n================================================================================\\n\\nSheet: MF-relaties\\n--------------------------------------------------------------------------------\\nShape: (280, 18) (rows x columns)\\n\\nColumns: ['AET_ID_LINKS', 'AET_OMSCHRIJVING_LINKS', 'RST_ID', 'RST_CODE', 'TAB_TITEL_LINKS', 'OMSCHRIJVING_LINKS', 'AET_ID_RECHTS', 'AET_OMSCHRIJVING_RECHTS', 'OMSCHRIJVING_RECHTS', 'TAB_TITEL_RECHTS', 'Type Relatie', 'Relation ID', 'Domein', 'Domein ID', 'Naam', 'Id of range', 'Range', 'Inverse relation ID and name']\\n\\nFirst 3 rows:\\n AET_ID_LINKS AET_OMSCHRIJVING_LINKS RST_ID RST_CODE TAB_TITEL_LINKS OMSCHRIJVING_LINKS AET_ID_RECHTS AET_OMSCHRIJVING_RECHTS OMSCHRIJVING_RECHTS TAB_TITEL_RECHTS Type Relatie Relation ID Domein Domein ID Naam Id of range Range Inverse relation ID and name\\n0 48 Affiche 9 AHD-AHD Zie ook Zie ook 61 Prent Verwezen door Verwezen door NaN NaN NaN NaN NaN NaN NaN NaN\\n1 48 Affiche 9 AHD-AHD Zie ook Zie ook 5 Enkelvoudige beschrijving Verwezen door Verwezen door NaN NaN NaN NaN NaN NaN NaN NaN\\n2 48 Affiche 6 FYS-BES Fysieke stukken is beschrijving van 881 Losbladig materiaal wordt beschreven in Beschrijving NaN NaN NaN NaN NaN NaN NaN NaN\\n\\n================================================================================\\n\\nSheet: MF-trefwoorden\\n--------------------------------------------------------------------------------\\nShape: (9, 3) (rows x columns)\\n\\nColumns: ['TREFWOORD_SOORT_ID', 'TREFWOORDSOORTCODE', 'TREFWOORDSOORTOMSCHRIJVING']\\n\\nFirst 3 rows:\\n TREFWOORD_SOORT_ID TREFWOORDSOORTCODE TREFWOORDSOORTOMSCHRIJVING\\n0 1 TWD Trefwoorden\\n1 2 NIW Namen\\n2 3 GN Geografische namen\\n\\n================================================================================\\n\\nSheet: Record Set\\n--------------------------------------------------------------------------------\\nShape: (169, 23) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', '[BD]', '[DB]', '[EB]', '[VDB]', '[VB]', '[DOS]', '[KVK]', '[RUB]', '[ABK]', '[COL]', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer', 'Memorix - Collectie Fotopersbureau De Boer2', 'Memorix - Collectie Fotopersbureau De Boer3']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema [BD] [DB] [EB] [VDB] [VB] [DOS] [KVK] [RUB] [ABK] [COL] TMLO Memorix - Collectie Fotopersbureau De Boer Memorix - Collectie Fotopersbureau De Boer2 Memorix - Collectie Fotopersbureau De Boer3\\n0 Record Set RiC-E03 NaN NaN NaN NaN NaN NaN NaN Bouwdossier Deelbeschrijving Enkelvoudige beschrijving Verzameldeelbeschrijving Verzamelbeschrijving Dossier KvK dossier Rubriek Archieftoegang Collection Aggregatieniveau is niet (\\\"Document\\\" of \\\"Bestand\\\") Reportage De Boer Negatiefvel De Boer Logboek De Boer\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent\\n\\n================================================================================\\n\\nSheet: Record\\n--------------------------------------------------------------------------------\\nShape: (236, 26) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', '[OVE]', '[HUW]', '[GEB]', '[DOC]', '[REG]', '[FILM]', '[GL]', '[PEN]', '[TWIN]', '[BGIN]', '[OVEVK]', '[SD]', '[VG]', '[CPDR]', '[VGNT]', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema [OVE] [HUW] [GEB] [DOC] [REG] [FILM] [GL] [PEN] [TWIN] [BGIN] [OVEVK] [SD] [VG] [CPDR] [VGNT] TMLO Memorix - Collectie Fotopersbureau De Boer\\n0 Record RiC-E04 NaN NaN NaN NaN NaN NaN NaN Overlijdensakte Huwelijksakte Geboorteakte Document Regest Film Geluid Penning Trouwinschrijving Begraafinschrijving Overlijdensverklaring Studentdossier Vredegerecht Correspondentiedossier Vignet Aggregatieniveau is \\\"Document\\\" \\\"Bestand\\\" - Record velden Cataloguskaart De Boer\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:RecordPart rico:Record rico:Record\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent\\n\\n================================================================================\\n\\nSheet: Instantiation\\n--------------------------------------------------------------------------------\\nShape: (280, 30) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', '[SCN]', '[SCNNI]', '[SCNT]', '[LOSM]', '[GEBM]', '[MICF]', '[KM]', '[CM]', '[MUSO]', '[VID]', '[FMAT]', '[FOTOM]', '[AUD]', '[DIGM]', '[ABK2]', '[ADS]', '[OPTS]', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer', 'Memorix - Collectie Fotopersbureau De Boer2', 'Memorix - Collectie Fotopersbureau De Boer3']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema [SCN] [SCNNI] [SCNT] [LOSM] [GEBM] [MICF] [KM] [CM] [MUSO] [VID] [FMAT] [FOTOM] [AUD] [DIGM] [ABK2] [ADS] [OPTS] TMLO Memorix - Collectie Fotopersbureau De Boer Memorix - Collectie Fotopersbureau De Boer2 Memorix - Collectie Fotopersbureau De Boer3\\n0 Instantiation RiC-E06 NaN NaN NaN NaN NaN NaN Scan bij een inventarisnummer Gescand inventarisnummer Scantoegang Losbladig materiaal Gebonden materiaal Microformaat Kaartmateriaal Chartermateriaal Museaal object Videotape Filmmateriaal Fotomateriaal Audiomateriaal Digitaal materiaal Archiefblok Archiefdoos Optische schijf Aggregatieniveau 'Bestand' - Instantiation velden Scan van reportagefoto De Boer Scan van logboekpagina De Boer Scan van cataloguskaart De Boer\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Instantiation NaN NaN rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:ImageObject NaN NaN sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:DigitalDocument sdo:ImageObject sdo:ImageObject sdo:ImageObject\\n\\n================================================================================\\n\\nSheet: Work\\n--------------------------------------------------------------------------------\\nShape: (79, 16) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property-name', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[BOEK]', '[TSART]', '[TS]', '[STIJD]', '[SBOEK]', '[ART]', '[KRANT]']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property-name datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [BOEK] [TSART] [TS] [STIJD] [SBOEK] [ART] [KRANT]\\n0 Work LRM-E2 NaN NaN NaN NaN NaN NaN NaN Boek Artikel in tijdschrift Tijdschrift Serie tijdschriften Serie boeken Artikel Krant\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rdac:C10001 rdac:C10001 rdac:C10001 rdac:C10001 rdac:C10001 rdac:C10001 rdac:C10001\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Book sdo:Article sdo:PublicationIssue sdo:Periodical sdo:BookSeries sdo:Article sdo:Newspaper\\n\\n================================================================================\\n\\nSheet: Expression\\n--------------------------------------------------------------------------------\\nShape: (88, 17) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property-name', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[BOEK]', '[TSART]', '[TS]', '[STIJD]', '[SBOEK]', '[ART]', '[KRANT]', 'MEMORIX-KRANT']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property-name datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [BOEK] [TSART] [TS] [STIJD] [SBOEK] [ART] [KRANT] MEMORIX-KRANT\\n0 Expression LRM-E3 NaN NaN NaN NaN NaN NaN NaN Boek Artikel in tijdschrift Tijdschrift Serie tijdschriften Serie boeken Artikel Krant Krant\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Book sdo:Article sdo:PublicationIssue sdo:Periodical sdo:BookSeries sdo:Article sdo:Newspaper sdo:Newspaper\\n\\n================================================================================\\n\\nSheet: Manifestation\\n--------------------------------------------------------------------------------\\nShape: (88, 17) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property-name', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[BOEK]', '[TSART]', '[TS]', '[STIJD]', '[SBOEK]', '[ART]', '[KRANT]', 'MEMORIX-KRANT']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property-name datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [BOEK] [TSART] [TS] [STIJD] [SBOEK] [ART] [KRANT] MEMORIX-KRANT\\n0 Manifestation LRM-E4 NaN NaN NaN NaN NaN NaN NaN Boek Artikel in tijdschrift Tijdschrift Serie tijdschriften Serie boeken Artikel Krant Krant\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10006\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Book sdo:Article sdo:PublicationIssue sdo:Periodical sdo:BookSeries sdo:Article sdo:Newspaper sdo:Newspaper\\n\\n================================================================================\\n\\nSheet: Item\\n--------------------------------------------------------------------------------\\nShape: (88, 17) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property-name', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[BOEK]', '[TSART]', '[TS]', '[STIJD]', '[SBOEK]', '[ART]', '[KRANT]', 'MEMORIX-KRANT']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property-name datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [BOEK] [TSART] [TS] [STIJD] [SBOEK] [ART] [KRANT] MEMORIX-KRANT\\n0 Item LRM-E5 NaN NaN NaN NaN Bij de bibliotheek proberen we Item gerelateerde informatie vast te leggen bij de fysieke stukken. Het signatuur, wat kan afwijken van het 'inventarisnummer' bij de beschrijving, zit in het nummer en code veld bij Gebonden materiaal of Losbladig Materiaal NaN NaN Boek Artikel in tijdschrift Tijdschrift Serie tijdschriften Serie boeken Artikel Krant Krant\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10006\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Book sdo:Article sdo:PublicationIssue sdo:Periodical sdo:BookSeries sdo:Article sdo:Newspaper sdo:Newspaper\\n\\n================================================================================\\n\\nSheet: HumanMadeObject\\n--------------------------------------------------------------------------------\\nShape: (108, 18) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', '[FT]', '[PBK]', '[PRENT]', '[TNG]', '[TTEK]', '[AFF]', '[CTST]', '[KRT]', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema [FT] [PBK] [PRENT] [TNG] [TTEK] [AFF] [CTST] [KRT] Memorix - Collectie Fotopersbureau De Boer\\n0 Human Made Object CRM-E22 NaN NaN NaN NaN NaN NaN NaN Foto Prentbriefkaart Prent Tekening Technische tekening Affiche Centsprent Kaart Reportagefoto De Boer\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork\\n\\n================================================================================\\n\\nSheet: Activity\\n--------------------------------------------------------------------------------\\nShape: (7, 10) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', 'TMLO']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema TMLO\\n0 Activity RiC-E15 NaN NaN NaN NaN NaN NaN NaN Eventgeschiedenis, Eventplan, Activiteit\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Activity\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Event\\n\\n================================================================================\\n\\nSheet: Concept\\n--------------------------------------------------------------------------------\\nShape: (6, 11) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema TMLO Memorix - Collectie Fotopersbureau De Boer\\n0 Concept NaN NaN NaN NaN NaN NaN NaN NaN Classificatie Tag\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN skos:Concept skos:Concept\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type schema:DefinedTerm schema:DefinedTerm\\n\\n================================================================================\\n\\nSheet: Agent\\n--------------------------------------------------------------------------------\\nShape: (60, 13) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[VDR]', '[AVR]', '[MVDR]', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [VDR] [AVR] [MVDR] Memorix - Collectie Fotopersbureau De Boer\\n0 Agent RiC-E07 NaN NaN NaN NaN NaN NaN NaN Vervaardiger Archiefvormende instantie Media vervaardiger Persoonsreconstructie\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Agent rico:Person | rico:Organisation | rico:Family rico:Person | rico:Organisation rico:Person\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Person | sdo:Organization sdo:Person | sdo:Organization sdo:Person | sdo:Organization sdo:Person\\n\\n================================================================================\\n\\nSheet: Person Observation\\n--------------------------------------------------------------------------------\\nShape: (99, 25) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[PSA]', '[PBR]', '[PSM]', '[PSV]', '[GDN]', '[PSAFB]', '[PSMS]', '[PSKR]', '[PSN]', '[PSDOS]', '[PIV]', '[MSLL]', '[PKVK]', '[LICI]', '[GFAI]', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [PSA] [PBR] [PSM] [PSV] [GDN] [PSAFB] [PSMS] [PSKR] [PSN] [PSDOS] [PIV] [MSLL] [PKVK] [LICI] [GFAI] Memorix - Collectie Fotopersbureau De Boer\\n0 Person Observation NaN NaN NaN NaN NaN NaN NaN NaN Persoon in akte Persoon in bevolkingsregister Persoon in militieregister Persoon in vonnis Gedetineerde Persoon op afbeelding Persoon in memorie van successie Persoon voor krijgsraad Persoon Persoon in dossier Persoon in vergunning Militaire school leerling Persoon in KvK-register Liste civique NaN Persoonsobservatie\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation NaN pico:PersonObservation\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person NaN sdo:Person\\n\\n================================================================================\\n\\nSheet: Place\\n--------------------------------------------------------------------------------\\nShape: (76, 15) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[ADRS]', '[STRN]', '[PERC]', '[KDAD]', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [ADRS] [STRN] [PERC] [KDAD] TMLO Memorix - Collectie Fotopersbureau De Boer\\n0 Place RiC-E22 NaN NaN NaN NaN NaN NaN NaN Adres Straatnaam Perceel Kadastrale aanduiding Geografisch gebied Plaats\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Place rico:Place rico:Place rico:Place rico:Place rico:Place\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Place sdo:Place sdo:Place sdo:Place sdo:Place sdo:Place\\n\\n================================================================================\\n\\nSheet: Place Observation\\n--------------------------------------------------------------------------------\\nShape: (5, 11) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema TMLO Memorix - Collectie Fotopersbureau De Boer\\n0 Place RiC-E22 NaN NaN NaN NaN NaN NaN NaN Geografisch gebied Plaats herkent met HTR/NER\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Place rico:Place\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Place sdo:Place\\n\\n================================================================================\\n\\n\",\"stderr\":\"\"}",
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"json_block": "{\"returncode\":0,\"stdout\":\"Sheet names in the file:\\n - Leeswijzer\\n - Prefixen\\n - MF-uitleg\\n - MF-archiefeenheidssoorten\\n - MF-nietflexvelden\\n - MF-flexvelden\\n - MF-relaties\\n - MF-trefwoorden\\n - Record Set\\n - Record\\n - Instantiation\\n - Work\\n - Expression\\n - Manifestation\\n - Item\\n - HumanMadeObject\\n - Activity\\n - Concept\\n - Agent\\n - Person Observation\\n - Place\\n - Place Observation\\n\\n================================================================================\\n\\nSheet: Leeswijzer\\n--------------------------------------------------------------------------------\\nShape: (0, 0) (rows x columns)\\n\\nColumns: []\\n\\nFirst 3 rows:\\nEmpty DataFrame\\nColumns: []\\nIndex: []\\n\\n================================================================================\\n\\nSheet: Prefixen\\n--------------------------------------------------------------------------------\\nShape: (19, 2) (rows x columns)\\n\\nColumns: ['PREFIX', 'URI']\\n\\nFirst 3 rows:\\n PREFIX URI\\n0 rdf http://www.w3.org/1999/02/22-rdf-syntax-ns#\\n1 rdfs http://www.w3.org/2000/01/rdf-schema#\\n2 xsd http://www.w3.org/2001/XMLSchema#\\n\\n================================================================================\\n\\nSheet: MF-uitleg\\n--------------------------------------------------------------------------------\\nShape: (52, 5) (rows x columns)\\n\\nColumns: ['MF term', 'algemene database term', 'opmerking', 'Unnamed: 3', 'Unnamed: 4']\\n\\nFirst 3 rows:\\n MF term algemene database term opmerking Unnamed: 3 Unnamed: 4\\n0 NaN NaN NaN NaN NaN\\n1 Archiefeenheidssoort Entiteit Afgekort als 'AET'. In de blauwdruk met '[' en ']' weergegeven. NaN NaN\\n2 Archiefeenheid Record, instantie van een archiefeenheidssoort Afgekort als 'AHD'. NaN NaN\\n\\n================================================================================\\n\\nSheet: MF-archiefeenheidssoorten\\n--------------------------------------------------------------------------------\\nShape: (153, 15) (rows x columns)\\n\\nColumns: ['AET_ID', 'AET_CODE', 'OMSCHRIJVING', 'TOELICHTING', 'UITFASEREN', 'AANTAL', 'Blauwdruk-entiteit', 'Opgenomen in blauwdruk', 'Moet in blauwdruk', 'Transformeren naar AET', 'Opmerking', 'PoolParty URI', 'Unnamed: 12', 'Unnamed: 13', 'Unnamed: 14']\\n\\nFirst 3 rows:\\n AET_ID AET_CODE OMSCHRIJVING TOELICHTING UITFASEREN AANTAL Blauwdruk-entiteit Opgenomen in blauwdruk Moet in blauwdruk Transformeren naar AET Opmerking PoolParty URI Unnamed: 12 Unnamed: 13 Unnamed: 14\\n0 1 ABK Archieftoegang Topsoort bestemd voor het beschrijven van een klassieke inventaris NaN 3279 Record Set Ja Ja NaN NaN https://digitaalerfgoed.poolparty.biz/nha/3f28406d-ca5e-47e6-923d-40f7f2720cd7 NaN NaN NaN\\n1 301 ABK2 Archiefblok Fysieke topsoort NaN 3413 Instantiation Ja Ja NaN NaN https://digitaalerfgoed.poolparty.biz/nha/1c42f1ad-0bb5-428f-ad01-f91303ea5ad7 NaN NaN NaN\\n2 303 ADDS Amsterdamse Doos Fysieke soort. Te gebruiken in Logistiek beheer Ja 6 Instantiation Nee Nee NaN Te verwijderen soort https://digitaalerfgoed.poolparty.biz/nha/a9395f69-9f79-4ae9-84ff-2fede2736811 NaN NaN NaN\\n\\n================================================================================\\n\\nSheet: MF-nietflexvelden\\n--------------------------------------------------------------------------------\\nShape: (34, 1) (rows x columns)\\n\\nColumns: ['NAAM']\\n\\nFirst 3 rows:\\n NAAM\\n0 ID\\n1 AET_ID\\n2 VOORLOPIG_NUMMER\\n\\n================================================================================\\n\\nSheet: MF-flexvelden\\n--------------------------------------------------------------------------------\\nShape: (3460, 16) (rows x columns)\\n\\nColumns: ['FLEX_ID', 'AET_ID', 'AET_CODE', 'AET_OMSCHRIJVING', 'NAAM', 'PROMPT', 'BESCHRIJVING', 'FORMAAT', 'LENGTE', 'VERPLICHT', 'GEBRUIKT', 'LOV_METHODE', 'LIJST', 'DT', 'Totaal van FGP_ID', 'Totaal van APT_ID']\\n\\nFirst 3 rows:\\n FLEX_ID AET_ID AET_CODE AET_OMSCHRIJVING NAAM PROMPT BESCHRIJVING FORMAAT LENGTE VERPLICHT GEBRUIKT LOV_METHODE LIJST DT Totaal van FGP_ID Totaal van APT_ID\\n0 10 1 ABK Archieftoegang TITEL Titel NaN CHAR 500 0 1 0 Geen lijst van waarden 2004-02-10 13:08:44 1 NaN\\n1 485 1 ABK Archieftoegang DEELNEMER Deelnemer NaN CHAR 500 0 1 16 Deelnemers 2008-09-08 16:46:15 1 NaN\\n2 5752 1 ABK Archieftoegang LICENTIE METADATA Licentie metadata NaN CHAR 200 0 1 1079 Licentiesoort CC0 2020-04-16 10:29:16 1 NaN\\n\\n================================================================================\\n\\nSheet: MF-relaties\\n--------------------------------------------------------------------------------\\nShape: (280, 18) (rows x columns)\\n\\nColumns: ['AET_ID_LINKS', 'AET_OMSCHRIJVING_LINKS', 'RST_ID', 'RST_CODE', 'TAB_TITEL_LINKS', 'OMSCHRIJVING_LINKS', 'AET_ID_RECHTS', 'AET_OMSCHRIJVING_RECHTS', 'OMSCHRIJVING_RECHTS', 'TAB_TITEL_RECHTS', 'Type Relatie', 'Relation ID', 'Domein', 'Domein ID', 'Naam', 'Id of range', 'Range', 'Inverse relation ID and name']\\n\\nFirst 3 rows:\\n AET_ID_LINKS AET_OMSCHRIJVING_LINKS RST_ID RST_CODE TAB_TITEL_LINKS OMSCHRIJVING_LINKS AET_ID_RECHTS AET_OMSCHRIJVING_RECHTS OMSCHRIJVING_RECHTS TAB_TITEL_RECHTS Type Relatie Relation ID Domein Domein ID Naam Id of range Range Inverse relation ID and name\\n0 48 Affiche 9 AHD-AHD Zie ook Zie ook 61 Prent Verwezen door Verwezen door NaN NaN NaN NaN NaN NaN NaN NaN\\n1 48 Affiche 9 AHD-AHD Zie ook Zie ook 5 Enkelvoudige beschrijving Verwezen door Verwezen door NaN NaN NaN NaN NaN NaN NaN NaN\\n2 48 Affiche 6 FYS-BES Fysieke stukken is beschrijving van 881 Losbladig materiaal wordt beschreven in Beschrijving NaN NaN NaN NaN NaN NaN NaN NaN\\n\\n================================================================================\\n\\nSheet: MF-trefwoorden\\n--------------------------------------------------------------------------------\\nShape: (9, 3) (rows x columns)\\n\\nColumns: ['TREFWOORD_SOORT_ID', 'TREFWOORDSOORTCODE', 'TREFWOORDSOORTOMSCHRIJVING']\\n\\nFirst 3 rows:\\n TREFWOORD_SOORT_ID TREFWOORDSOORTCODE TREFWOORDSOORTOMSCHRIJVING\\n0 1 TWD Trefwoorden\\n1 2 NIW Namen\\n2 3 GN Geografische namen\\n\\n================================================================================\\n\\nSheet: Record Set\\n--------------------------------------------------------------------------------\\nShape: (169, 23) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', '[BD]', '[DB]', '[EB]', '[VDB]', '[VB]', '[DOS]', '[KVK]', '[RUB]', '[ABK]', '[COL]', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer', 'Memorix - Collectie Fotopersbureau De Boer2', 'Memorix - Collectie Fotopersbureau De Boer3']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema [BD] [DB] [EB] [VDB] [VB] [DOS] [KVK] [RUB] [ABK] [COL] TMLO Memorix - Collectie Fotopersbureau De Boer Memorix - Collectie Fotopersbureau De Boer2 Memorix - Collectie Fotopersbureau De Boer3\\n0 Record Set RiC-E03 NaN NaN NaN NaN NaN NaN NaN Bouwdossier Deelbeschrijving Enkelvoudige beschrijving Verzameldeelbeschrijving Verzamelbeschrijving Dossier KvK dossier Rubriek Archieftoegang Collection Aggregatieniveau is niet (\\\"Document\\\" of \\\"Bestand\\\") Reportage De Boer Negatiefvel De Boer Logboek De Boer\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet rico:RecordSet\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent\\n\\n================================================================================\\n\\nSheet: Record\\n--------------------------------------------------------------------------------\\nShape: (236, 26) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', '[OVE]', '[HUW]', '[GEB]', '[DOC]', '[REG]', '[FILM]', '[GL]', '[PEN]', '[TWIN]', '[BGIN]', '[OVEVK]', '[SD]', '[VG]', '[CPDR]', '[VGNT]', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema [OVE] [HUW] [GEB] [DOC] [REG] [FILM] [GL] [PEN] [TWIN] [BGIN] [OVEVK] [SD] [VG] [CPDR] [VGNT] TMLO Memorix - Collectie Fotopersbureau De Boer\\n0 Record RiC-E04 NaN NaN NaN NaN NaN NaN NaN Overlijdensakte Huwelijksakte Geboorteakte Document Regest Film Geluid Penning Trouwinschrijving Begraafinschrijving Overlijdensverklaring Studentdossier Vredegerecht Correspondentiedossier Vignet Aggregatieniveau is \\\"Document\\\" \\\"Bestand\\\" - Record velden Cataloguskaart De Boer\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:Record rico:RecordPart rico:Record rico:Record\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent sdo:ArchiveComponent\\n\\n================================================================================\\n\\nSheet: Instantiation\\n--------------------------------------------------------------------------------\\nShape: (280, 30) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', '[SCN]', '[SCNNI]', '[SCNT]', '[LOSM]', '[GEBM]', '[MICF]', '[KM]', '[CM]', '[MUSO]', '[VID]', '[FMAT]', '[FOTOM]', '[AUD]', '[DIGM]', '[ABK2]', '[ADS]', '[OPTS]', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer', 'Memorix - Collectie Fotopersbureau De Boer2', 'Memorix - Collectie Fotopersbureau De Boer3']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema [SCN] [SCNNI] [SCNT] [LOSM] [GEBM] [MICF] [KM] [CM] [MUSO] [VID] [FMAT] [FOTOM] [AUD] [DIGM] [ABK2] [ADS] [OPTS] TMLO Memorix - Collectie Fotopersbureau De Boer Memorix - Collectie Fotopersbureau De Boer2 Memorix - Collectie Fotopersbureau De Boer3\\n0 Instantiation RiC-E06 NaN NaN NaN NaN NaN NaN Scan bij een inventarisnummer Gescand inventarisnummer Scantoegang Losbladig materiaal Gebonden materiaal Microformaat Kaartmateriaal Chartermateriaal Museaal object Videotape Filmmateriaal Fotomateriaal Audiomateriaal Digitaal materiaal Archiefblok Archiefdoos Optische schijf Aggregatieniveau 'Bestand' - Instantiation velden Scan van reportagefoto De Boer Scan van logboekpagina De Boer Scan van cataloguskaart De Boer\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Instantiation NaN NaN rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation rico:Instantiation\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:ImageObject NaN NaN sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:CreativeWork sdo:DigitalDocument sdo:ImageObject sdo:ImageObject sdo:ImageObject\\n\\n================================================================================\\n\\nSheet: Work\\n--------------------------------------------------------------------------------\\nShape: (79, 16) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property-name', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[BOEK]', '[TSART]', '[TS]', '[STIJD]', '[SBOEK]', '[ART]', '[KRANT]']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property-name datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [BOEK] [TSART] [TS] [STIJD] [SBOEK] [ART] [KRANT]\\n0 Work LRM-E2 NaN NaN NaN NaN NaN NaN NaN Boek Artikel in tijdschrift Tijdschrift Serie tijdschriften Serie boeken Artikel Krant\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rdac:C10001 rdac:C10001 rdac:C10001 rdac:C10001 rdac:C10001 rdac:C10001 rdac:C10001\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Book sdo:Article sdo:PublicationIssue sdo:Periodical sdo:BookSeries sdo:Article sdo:Newspaper\\n\\n================================================================================\\n\\nSheet: Expression\\n--------------------------------------------------------------------------------\\nShape: (88, 17) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property-name', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[BOEK]', '[TSART]', '[TS]', '[STIJD]', '[SBOEK]', '[ART]', '[KRANT]', 'MEMORIX-KRANT']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property-name datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [BOEK] [TSART] [TS] [STIJD] [SBOEK] [ART] [KRANT] MEMORIX-KRANT\\n0 Expression LRM-E3 NaN NaN NaN NaN NaN NaN NaN Boek Artikel in tijdschrift Tijdschrift Serie tijdschriften Serie boeken Artikel Krant Krant\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006 rdac:C10006\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Book sdo:Article sdo:PublicationIssue sdo:Periodical sdo:BookSeries sdo:Article sdo:Newspaper sdo:Newspaper\\n\\n================================================================================\\n\\nSheet: Manifestation\\n--------------------------------------------------------------------------------\\nShape: (88, 17) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property-name', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[BOEK]', '[TSART]', '[TS]', '[STIJD]', '[SBOEK]', '[ART]', '[KRANT]', 'MEMORIX-KRANT']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property-name datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [BOEK] [TSART] [TS] [STIJD] [SBOEK] [ART] [KRANT] MEMORIX-KRANT\\n0 Manifestation LRM-E4 NaN NaN NaN NaN NaN NaN NaN Boek Artikel in tijdschrift Tijdschrift Serie tijdschriften Serie boeken Artikel Krant Krant\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10007 rdac:C10006\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Book sdo:Article sdo:PublicationIssue sdo:Periodical sdo:BookSeries sdo:Article sdo:Newspaper sdo:Newspaper\\n\\n================================================================================\\n\\nSheet: Item\\n--------------------------------------------------------------------------------\\nShape: (88, 17) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property-name', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[BOEK]', '[TSART]', '[TS]', '[STIJD]', '[SBOEK]', '[ART]', '[KRANT]', 'MEMORIX-KRANT']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property-name datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [BOEK] [TSART] [TS] [STIJD] [SBOEK] [ART] [KRANT] MEMORIX-KRANT\\n0 Item LRM-E5 NaN NaN NaN NaN Bij de bibliotheek proberen we Item gerelateerde informatie vast te leggen bij de fysieke stukken. Het signatuur, wat kan afwijken van het 'inventarisnummer' bij de beschrijving, zit in het nummer en code veld bij Gebonden materiaal of Losbladig Materiaal NaN NaN Boek Artikel in tijdschrift Tijdschrift Serie tijdschriften Serie boeken Artikel Krant Krant\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10003 rdac:C10006\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Book sdo:Article sdo:PublicationIssue sdo:Periodical sdo:BookSeries sdo:Article sdo:Newspaper sdo:Newspaper\\n\\n================================================================================\\n\\nSheet: HumanMadeObject\\n--------------------------------------------------------------------------------\\nShape: (108, 18) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', '[FT]', '[PBK]', '[PRENT]', '[TNG]', '[TTEK]', '[AFF]', '[CTST]', '[KRT]', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema [FT] [PBK] [PRENT] [TNG] [TTEK] [AFF] [CTST] [KRT] Memorix - Collectie Fotopersbureau De Boer\\n0 Human Made Object CRM-E22 NaN NaN NaN NaN NaN NaN NaN Foto Prentbriefkaart Prent Tekening Technische tekening Affiche Centsprent Kaart Reportagefoto De Boer\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object crm:E22_Human-Made_Object\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork sdo:VisualArtwork\\n\\n================================================================================\\n\\nSheet: Activity\\n--------------------------------------------------------------------------------\\nShape: (7, 10) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking over mapping', 'LOD-domeinmodel', 'LOD-schema', 'TMLO']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking over mapping LOD-domeinmodel LOD-schema TMLO\\n0 Activity RiC-E15 NaN NaN NaN NaN NaN NaN NaN Eventgeschiedenis, Eventplan, Activiteit\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Activity\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Event\\n\\n================================================================================\\n\\nSheet: Concept\\n--------------------------------------------------------------------------------\\nShape: (6, 11) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema TMLO Memorix - Collectie Fotopersbureau De Boer\\n0 Concept NaN NaN NaN NaN NaN NaN NaN NaN Classificatie Tag\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN skos:Concept skos:Concept\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type schema:DefinedTerm schema:DefinedTerm\\n\\n================================================================================\\n\\nSheet: Agent\\n--------------------------------------------------------------------------------\\nShape: (60, 13) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[VDR]', '[AVR]', '[MVDR]', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [VDR] [AVR] [MVDR] Memorix - Collectie Fotopersbureau De Boer\\n0 Agent RiC-E07 NaN NaN NaN NaN NaN NaN NaN Vervaardiger Archiefvormende instantie Media vervaardiger Persoonsreconstructie\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Agent rico:Person | rico:Organisation | rico:Family rico:Person | rico:Organisation rico:Person\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Person | sdo:Organization sdo:Person | sdo:Organization sdo:Person | sdo:Organization sdo:Person\\n\\n================================================================================\\n\\nSheet: Person Observation\\n--------------------------------------------------------------------------------\\nShape: (99, 25) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[PSA]', '[PBR]', '[PSM]', '[PSV]', '[GDN]', '[PSAFB]', '[PSMS]', '[PSKR]', '[PSN]', '[PSDOS]', '[PIV]', '[MSLL]', '[PKVK]', '[LICI]', '[GFAI]', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [PSA] [PBR] [PSM] [PSV] [GDN] [PSAFB] [PSMS] [PSKR] [PSN] [PSDOS] [PIV] [MSLL] [PKVK] [LICI] [GFAI] Memorix - Collectie Fotopersbureau De Boer\\n0 Person Observation NaN NaN NaN NaN NaN NaN NaN NaN Persoon in akte Persoon in bevolkingsregister Persoon in militieregister Persoon in vonnis Gedetineerde Persoon op afbeelding Persoon in memorie van successie Persoon voor krijgsraad Persoon Persoon in dossier Persoon in vergunning Militaire school leerling Persoon in KvK-register Liste civique NaN Persoonsobservatie\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation pico:PersonObservation NaN pico:PersonObservation\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person sdo:Person NaN sdo:Person\\n\\n================================================================================\\n\\nSheet: Place\\n--------------------------------------------------------------------------------\\nShape: (76, 15) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', '[ADRS]', '[STRN]', '[PERC]', '[KDAD]', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema [ADRS] [STRN] [PERC] [KDAD] TMLO Memorix - Collectie Fotopersbureau De Boer\\n0 Place RiC-E22 NaN NaN NaN NaN NaN NaN NaN Adres Straatnaam Perceel Kadastrale aanduiding Geografisch gebied Plaats\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Place rico:Place rico:Place rico:Place rico:Place rico:Place\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Place sdo:Place sdo:Place sdo:Place sdo:Place sdo:Place\\n\\n================================================================================\\n\\nSheet: Place Observation\\n--------------------------------------------------------------------------------\\nShape: (5, 11) (rows x columns)\\n\\nColumns: ['CM-entity', 'CM-identifier', 'CM-property', 'datatype', 'verplicht', 'herhaalbaar', 'opmerking', 'LOD-domeinmodel', 'LOD-schema', 'TMLO', 'Memorix - Collectie Fotopersbureau De Boer']\\n\\nFirst 3 rows:\\n CM-entity CM-identifier CM-property datatype verplicht herhaalbaar opmerking LOD-domeinmodel LOD-schema TMLO Memorix - Collectie Fotopersbureau De Boer\\n0 Place RiC-E22 NaN NaN NaN NaN NaN NaN NaN Geografisch gebied Plaats herkent met HTR/NER\\n1 NaN NaN NaN NaN NaN NaN NaN rdf:type NaN rico:Place rico:Place\\n2 NaN NaN NaN NaN NaN NaN NaN NaN rdf:type sdo:Place sdo:Place\\n\\n================================================================================\\n\\n\",\"stderr\":\"\"}"
}
},
{
"start_timestamp": null,
"stop_timestamp": null,
"flags": null,
"type": "token_budget"
},
{
"start_timestamp": "2025-09-29T08:34:02.737926Z",
"stop_timestamp": "2025-09-29T08:34:11.436410Z",
"flags": null,
"type": "thinking",
"thinking": "Excellent! This is a comprehensive mapping document from the Noord-Hollands Archief that shows their conceptual model (CM) mapping to various linked data ontologies. The file contains:\n\n1. **Prefixes** - showing which ontologies are used\n2. **Metadata about Memorix fields** - their internal system\n3. **Entity mappings** for different conceptual models:\n - **RiC-CM entities**: Record Set (RiC-E03), Record (RiC-E04), Instantiation (RiC-E06), Activity (RiC-E15), Agent (RiC-E07), Place (RiC-E22)\n - **LRM entities**: Work (LRM-E2), Expression (LRM-E3), Manifestation (LRM-E4), Item (LRM-E5)\n - **CIDOC-CRM entities**: Human Made Object (CRM-E22)\n - Additional entities: Concept, Person Observation, Place Observation\n\nEach sheet maps different collection types (indicated by codes in square brackets like [BD], [ABK], [BOEK], etc.) to these conceptual models.\n\nNow I should do research on these specific ontologies to understand how to properly create LinkML schemas that bridge them with TOOI-style modeling. I need to understand:\n1. RiC-CM (Records in Contexts) - archival domain\n2. LRM (Library Reference Model) - bibliographic domain\n3. CIDOC-CRM - museum domain\n4. How they relate to schema.org\n5. How to model these in LinkML while maintaining compatibility with TOOI patterns\n\nLet me launch a research task to understand these ontologies better.",
"summaries": [
{
"summary": "Mapping document revealing ontology connections and metadata structure"
},
{
"summary": "Mapped ontologies to explore LinkML schema bridging strategies."
}
],
"cut_off": false
},
{
"start_timestamp": "2025-09-29T08:34:11.554402Z",
"stop_timestamp": "2025-09-29T08:34:11.966697Z",
"flags": null,
"type": "text",
"text": "Now I'll research these specific ontologies to provide informed recommendations for LinkML schema development:",
"citations": []
},
{
"start_timestamp": "2025-09-29T08:34:12.438380Z",
"stop_timestamp": "2025-09-29T08:34:23.384938Z",
"flags": null,
"type": "tool_use",
"name": "launch_extended_search_task",
"input": {
"command": "Research the following cultural heritage ontologies to understand how to model them in LinkML schemas, with specific focus on how they can integrate with TOOI-style semantic modeling:\n\n1. **Records in Contexts Conceptual Model (RiC-CM)** - archival domain standard:\n - Core entities: RiC-E03 (Record Set), RiC-E04 (Record), RiC-E06 (Instantiation), RiC-E07 (Agent), RiC-E15 (Activity), RiC-E22 (Place)\n - Key properties and relationships\n - How RiC-CM relates to schema.org mappings\n - Current RDF/OWL implementations\n - Best practices for representing archival descriptions\n\n2. **IFLA Library Reference Model (LRM)** - bibliographic domain:\n - Core entities: LRM-E2 (Work), LRM-E3 (Expression), LRM-E4 (Manifestation), LRM-E5 (Item)\n - Relationship to FRBR (Functional Requirements for Bibliographic Records)\n - How LRM entities map to RDA (Resource Description and Access) vocabularies\n - Schema.org equivalents and mappings\n - RDF implementations (especially using rdac: prefix)\n\n3. **CIDOC Conceptual Reference Model (CIDOC-CRM)** - museum domain:\n - Focus on E22_Human-Made_Object for visual artworks\n - Integration with other CRM entities for cultural heritage\n - Schema.org mappings for museum objects\n - How CRM relates to other cultural heritage ontologies\n\n4. **Integration patterns and best practices**:\n - How these three ontologies (RiC-CM, LRM, CIDOC-CRM) are used together in cultural heritage institutions\n - Examples of LinkML or similar schema implementations for cultural heritage\n - Mapping patterns between cultural heritage ontologies and schema.org\n - How person observations, place observations, and concepts are modeled across these standards\n - Best practices for multi-domain cultural heritage knowledge graphs\n\n5. **Specific to the Noord-Hollands Archief context**:\n - How Dutch archives implement these standards\n - Integration with PICO (Person In Context Ontology) for person observations\n - Relationship to network of terms for Dutch heritage (NDE/Erfgoed)\n - PoolParty vocabulary management for cultural heritage\n\nFocus on technical implementation details that would inform LinkML schema design, including class hierarchies, property definitions, constraints, and identifier strategies that align with TOOI principles."
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"text": "Your cultural heritage ontologies research report is ready. It covers Records in Contexts (RiC-CM), IFLA Library Reference Model (LRM), and CIDOC Conceptual Reference Model (CIDOC-CRM) implementation guidance for LinkML schemas, including TOOI-style semantic modeling patterns, Dutch archival infrastructure requirements, and integration strategies for Noord-Hollands Archief's linked data transition.",
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"content": "# Cultural Heritage Ontologies for LinkML Schema Design with TOOI-Style Semantic Modeling\n\nThe cultural heritage sector has developed sophisticated ontological frameworks that enable rich semantic descriptions across archives, libraries, and museums. This research provides technical implementation guidance for modeling Records in Contexts (RiC-CM), IFLA Library Reference Model (LRM), and CIDOC Conceptual Reference Model (CIDOC-CRM) in LinkML schemas, with specific focus on TOOI-style semantic patterns and Dutch archival contexts.\n\n## Records in Contexts transforms archival description into graph-based networks\n\nThe International Council on Archives released **RiC-CM version 1.0 in late 2023**, marking the shift from hierarchical to network-based archival description. The model defines 22 core entities organized in four hierarchical levels, with **RiC-E02 Record Resource** serving as the abstract foundation for archival materials. The critical entities for implementation include RiC-E03 Record Set (archival collections), RiC-E04 Record (discrete information units), and RiC-E06 Instantiation (physical or digital representations).\n\n**RiC-O 1.1**, the OWL ontology implementation released in May 2025, provides 107 classes and over 600 properties with explicit inverse relationships. The namespace `https://www.ica.org/standards/RiC/ontology#` (prefix `rico:`) enables full RDF implementation. Key technical patterns include mandatory instantiation relationships (every Record must have at least one Instantiation), temporal qualifiers for all relationships, and polyhierarchical classification supporting both traditional archival arrangement and flexible network structures.\n\nFor LinkML implementation, the essential pattern involves **property chains linking agents to activities to records**. The relationship `Agent → performs → Activity → documents → Record Resource` provides full provenance tracking. French National Archives demonstrates practical implementation through their EAD/EAC-CPF to RiC-O converter, while Swedish National Archives provides dual RiC-O and Schema.org representation at data.riksarkivet.se.\n\n## IFLA LRM consolidates bibliographic semantics into unified WEMI structure\n\nThe Library Reference Model **unifies FRBR, FRAD, and FRSAD** into a single coherent framework centered on the Work-Expression-Manifestation-Item (WEMI) hierarchy. LRM-E2 Work represents distinct intellectual creations, LRM-E3 Expression captures specific realizations, LRM-E4 Manifestation embodies physical publication forms, and LRM-E5 Item identifies individual copies.\n\nBeyond WEMI, LRM introduces **LRM-E9 Nomen** as a sophisticated naming entity replacing scattered identifier concepts, enabling multilingual and contextual name management. The model enforces strict cardinality constraints: Expressions must realize exactly one Work, while Manifestations can embody multiple Expressions, supporting translation and adaptation patterns.\n\n**LRMer** (LRM in RDF) provides the namespace `http://iflastandards.info/ns/lrm/lrmer/` for RDF implementation. The **RDA Registry** aligns comprehensively with LRM through the `rdac:` namespace, providing granular properties like `rdaw:P10004` for work categories and `rdae:P20006` for expression languages. Schema.org mapping occurs primarily through the CreativeWork hierarchy, though gaps exist for expression-level semantics.\n\nOCLC WorldCat and Library of Congress BIBFRAME demonstrate practical implementations, with BIBFRAME conflating Work and Expression into a single layer for pragmatic reasons. The University of Washington Libraries provides RML mapping patterns for MARC21 to LRM transformation.\n\n## CIDOC-CRM E22_Human-Made_Object anchors museum object modeling\n\nCIDOC-CRM, standardized as **ISO 21127:2023**, provides the foundational ontology for cultural heritage with E22_Human-Made_Object serving as the primary class for physical artifacts. This class inherits from both E19_Physical_Object and E24_Physical_Human-Made_Thing, supporting comprehensive material culture description.\n\nThe **event-centric modeling paradigm** distinguishes CIDOC-CRM, where all changes manifest as events with participating agents, temporal spans, and locations. Production events (E12_Production) link creators to objects through property chains: `E22 → P108i_was_produced_by → E12_Production → P14_carried_out_by → E21_Person`. Material composition uses `P45_consists_of → E57_Material`, while dimensions employ `P43_has_dimension → E54_Dimension` with measurement units.\n\nThe **Erlangen CRM OWL implementation** (`http://erlangen-crm.org/current/`) maintains OWL 2 DL compliance with versioned namespaces. Real-world implementations include British Museum ResearchSpace using Blazegraph triple stores and the **Linked Art profile**, which reduces CRM's 86 classes to approximately 20 commonly-used entities for developer accessibility. The profile provides JSON-LD contexts removing numeric prefixes (E22_Human-Made_Object becomes HumanMadeObject) and implements schema.org mappings for search engine optimization.\n\nExtensions like **CRMdig** handle digital provenance, **CRMsci** supports scientific observations, and **CRMarchaeo** models archaeological contexts. Integration with Getty vocabularies (AAT, ULAN, TGN) provides controlled terminology, while X3ML tools enable LIDO XML transformation to RDF.\n\n## Integration patterns enable multi-domain cultural heritage systems\n\nMajor cultural heritage aggregators demonstrate sophisticated integration strategies. **Europeana Data Model (EDM)** serves as a hub ontology integrating CIDOC-CRM, Dublin Core, and OAI-PMH, using `edm:ProvidedCHO` as the central cultural heritage object class. The **DPLA Metadata Application Profile** adapts EDM for American contexts with JSON-LD serialization and `dpla:SourceResource` as the primary entity.\n\n**Cross-ontology entity alignment** occurs through shared authority files. Agent entities from RiC-O (rico:Person), LRM (lrm:Person), and CIDOC-CRM (E21_Person) map through VIAF and ULAN using owl:sameAs assertions. Spatial entities converge on CIDOC-CRM's E53_Place with CRMgeo extensions providing GeoSPARQL compatibility. Temporal modeling uses E52_Time-Span as the common framework across all three ontologies.\n\n**LRMoo**, approved in April 2024, provides the official CIDOC-CRM extension aligning with IFLA LRM, enabling formal integration between museum and library systems. Recent research demonstrates systematic RiC-CM to CIDOC-CRM mapping, with hierarchical record structures aligning to E22_Man-Made_Object hierarchies via P46_is_composed_of relationships.\n\nFor **LinkML implementation**, modular schema composition proves most effective:\n\n```yaml\nid: https://example.org/cultural-heritage\nname: CulturalHeritageModel\nimports:\n - cidoc_crm_module\n - ric_module \n - lrm_module\n\nclasses:\n CulturalHeritageObject:\n mixins:\n - CidocObject\n - RicRecord \n - LrmManifestation\n```\n\n**Validation frameworks** ensure data quality across integrated ontologies. SHACL provides constraint-based validation with detailed error reporting, while ShEx offers schema-based validation with human-readable syntax. Wikidata demonstrates community-driven enhancement using property-centric modeling with ranked statements for uncertainty representation.\n\n## Dutch heritage infrastructure emphasizes linked data and vocabulary control\n\nThe **Noord-Hollands Archief** currently manages 3.3 million deeds with 12.4 million historical personal details through Preservica cloud-based preservation and the A2A (Archives 2 All) genealogical metadata model. The transition to RiC-O implementation aligns with Dutch National Heritage Infrastructure requirements through Netwerk Digitaal Erfgoed (NDE).\n\n**PICO (Persons in Context Ontology)**, developed by CBG as the A2A successor, distinguishes person observations (data from sources) from person reconstructions (consolidated individuals). Built on the ROAR ontology, PICO supports full provenance tracking with source attribution and integrates with WieWasWie, the national Dutch genealogy platform.\n\n**NDE technical requirements** mandate HTTP URIs for all cultural objects, N-Triples as the preferred RDF format, and integration with the Network of Terms API for vocabulary alignment. The SKOS-based terminology infrastructure enables real-time searching, reconciliation services, and persistent URIs for persons, places, and concepts.\n\n**PoolParty deployment** by the Rijksdienst voor het Cultureel Erfgoed provides comprehensive SKOS vocabulary management with custom schema extensions. Dutch heritage vocabularies include AAT translations, the Cultuurhistorische Thesaurus, and integration with the Nederlandse Thesaurus van Auteursnamen.\n\nMajor Dutch institutions demonstrate advanced implementations. The **Rijksmuseum** uses the Linked Art model with LDES (Linked Data Event Streams) APIs and full IIIF support for 800,000+ objects. The **Koninklijke Bibliotheek** publishes the complete national bibliography as LOD through data.bibliotheken.nl with SPARQL endpoints. **Amsterdam City Archives** transitions to Memorix Nexus with native Linked Data support while maintaining 4.8 million genealogical records.\n\n## TOOI-style observation patterns model uncertainty and interpretation\n\nWhile specific TOOI ontology documentation remains limited, cultural heritage institutions employ similar observation-based patterns. The **SPICE Ontology Network** uses observation patterns for citizen curation activities, modeling cultural artifact interpretations as typed observations with qualified assertions. The **ICON Ontology** captures Panofsky's three interpretation levels (pre-iconographical, iconographical, iconological) through observation classes aligned with CIDOC-CRM's E13_Attribute_Assignment.\n\nFor **LinkML implementation of observation patterns**:\n\n```yaml\nPersonObservation:\n is_a: Observation\n slots:\n - observed_person\n - observation_date \n - observer_agent\n - evidence_source\n - certainty_level\n \nTemporalObservation: \n is_a: Observation\n slots:\n - temporal_phenomenon\n - dating_method\n - date_range\n - dating_precision\n```\n\nUncertainty modeling employs reification patterns with probabilistic confidence measures (0.0-1.0), evidence provenance through observation chains, and support for multiple competing interpretations through observation sets.\n\n## Implementation recommendations balance semantic richness with pragmatic constraints\n\nFor **Noord-Hollands Archief LinkML schemas**, the recommended namespace structure combines Dutch and international standards:\n\n```yaml\nprefixes:\n nha: https://noord-hollandsarchief.nl/id/\n pico: https://personsincontext.org/model/\n rico: https://www.ica.org/standards/RiC/ontology#\n crm: http://www.cidoc-crm.org/cidoc-crm/\n lrm: http://iflastandards.info/ns/lrm/lrmer/\n```\n\n**Core integration requirements** include NDE Network of Terms API for vocabulary alignment, PICO compatibility for genealogical data, RiC-O compliance for archival descriptions, Schema.org properties for web visibility, and IIIF manifest generation for digital objects.\n\nThe **modular schema architecture** should separate concerns into distinct modules (core.yaml for base entities, agents.yaml for person/organization modeling, events.yaml for activities, vocabularies.yaml for SKOS terms) while using LinkML mixins for cross-cutting patterns. Validation rules should enforce mandatory relationships (Records must have Instantiations, Productions must have Agents) while permitting flexibility for incomplete historical data.\n\n**Technical infrastructure** must support OAI-PMH endpoints with A2A format for legacy systems, SPARQL endpoints for complex queries, content negotiation for multiple RDF formats, persistent identifier resolution through Handles or DOIs, and integration with Preservica preservation platforms.\n\nThe convergence of RiC-CM's network-based archival description, LRM's bibliographic semantics, and CIDOC-CRM's event-centric modeling provides a robust foundation for comprehensive cultural heritage information systems. Combined with Dutch-specific requirements for genealogical data through PICO and national vocabulary infrastructure through NDE, these ontologies enable Noord-Hollands Archief to participate fully in the emerging graph-based cultural heritage ecosystem while maintaining compatibility with established practices and tools.",
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