- Removed compliance_status slot and replaced it with has_or_had_status.
- Updated has_or_had_status to use ComplianceStatus for structured representation.
- Adjusted examples to reflect new structure for compliance status.
- Updated documentation to indicate migration and provide details on the ComplianceStatus class.
- Created new YAML files for audience size and audience type slots, defining their properties and annotations.
- Added archived capacity slots including cubic meters, linear meters, item count, and descriptions, with appropriate URIs and ranges.
- Introduced a template specificity slot for context-aware RAG filtering.
- Consolidated capacity-related slots into a unified structure, including has_or_had_capacity, capacity_type, and capacity_value, with detailed descriptions and examples.
- Introduced total expense, total frames analyzed, total investment, total liability, total net asset, and traditional product slots to enhance financial reporting capabilities.
- Added transition types detected, treatment description, type hypothesis, typical condition, typical HTTP methods, typical response formats, and typical scope slots for improved heritage documentation.
- Implemented user community, verified, web observation, WhatsApp business likelihood, wikidata equivalent, and wikidata mapping slots to enrich institutional data representation.
- Established has_or_had_asset, has_or_had_budget, has_or_had_expense, and is_or_was_threatened_by slots to capture asset, budget, expense relationships, and threats to heritage forms.
- Removed deprecated slots: storage_security_level, version_number, video_comment, visiting_hour, was_asserted_by, was_revision_of, writing_system.
- Archived corresponding YAML files for deprecated slots with detailed migration notes.
- Updated slot definitions for has_collection and encompassing_body to reflect new naming conventions and temporal patterns.
- Enhanced metadata extraction in index_persons_qdrant.py to include WCMS registration and data sources.
- Modified hybrid_retriever and multi_embedding_retriever to support filtering by WCMS registration status.
- Create .opencode/rules/no-duplicate-ontology-mappings.md with detection script
- Add Rule 52 to AGENTS.md (after Rule 51)
- Fix 29 duplicate mappings: same URI in multiple mapping categories
- 26 slot files: remove duplicates keeping most precise mapping
- 3 class files: ExhibitionSpace, Custodian, DigitalPlatform
- Mapping precedence: exact > close > narrow/broad > related
Each ontology URI must appear in only ONE mapping category per schema
element, following SKOS semantics where mapping properties are mutually
exclusive.
- Remove inline slot definitions from 144 class files
- Create 7 new centralized slot files in modules/slots/:
- custodian_type_broader.yaml
- custodian_type_narrower.yaml
- custodian_type_related.yaml
- definition.yaml
- finding_aid_access_restriction.yaml
- finding_aid_description.yaml
- finding_aid_temporal_coverage.yaml
- Add centralize_inline_slots.py automation script
- Update manifest with new timestamp
Rule 48: Class files must NOT define inline slots - all slots
must be imported from modules/slots/ directory.
Note: Pre-existing IdentifierFormat duplicate class definition
(in Standard.yaml and IdentifierFormat.yaml) not addressed in
this commit - requires separate schema refactor.
- Migrate 236+ class files from custodian_types to has_or_had_custodian_type
- Archive deprecated slots: custodian_type, custodian_types, custodian_type_broader/narrower/related
- Update main schema and manifest imports
- Fix Custodian.yaml class to use new slot
- Fix annotation format (list→scalar) in has_or_had_custodian_type.yaml
Rules applied:
- Rule 39: RiC-O naming convention (hasOrHad pattern)
- Rule 43: Slot nouns must be singular (multivalued:true for cardinality)
- Rule 38: Slot centralization with semantic URI
- Updated documentation to clarify integration points with existing components in the RAG pipeline and DSPy framework.
- Added detailed mapping of SPARQL templates to context templates for improved specificity filtering.
- Implemented wrapper patterns around existing classifiers to extend functionality without duplication.
- Introduced new tests for the SpecificityAwareClassifier and SPARQLToContextMapper to ensure proper integration and functionality.
- Enhanced the CustodianRDFConverter to include ISO country and subregion codes from GHCID for better geospatial data handling.
- Created PlantUML diagrams for custodian types, full schema, legal status, and organizational structure.
- Implemented a script to generate GraphViz DOT diagrams from OWL/RDF ontology files.
- Developed a script to generate UML diagrams from modular LinkML schema, supporting both Mermaid and PlantUML formats.
- Enhanced class definitions and relationships in UML diagrams to reflect the latest schema updates.
- Implemented `owl_to_mermaid.py` to convert OWL/Turtle files into Mermaid class diagrams.
- Implemented `owl_to_plantuml.py` to convert OWL/Turtle files into PlantUML class diagrams.
- Added two new PlantUML files for custodian multi-aspect diagrams.
- Introduced a new Mermaid diagram for Custodian Hub v2, detailing entities such as CustodianReconstruction, Identifier, TimeSpan, Agent, CustodianName, CustodianObservation, ReconstructionActivity, Appellation, ConfidenceMeasure, Custodian, LanguageCode, and SourceDocument.
- Established relationships between entities, including temporal extents, derivations, and revisions.
- Added a comprehensive PlantUML diagram reflecting the same structure and relationships, including enumerations for various types and statuses relevant to custodians and observations.
- Enhanced documentation to clarify the hub architecture pattern and its implications for data integrity and source authority.
