- Fix polygon rendering with static paint properties instead of data-driven
- Add ensureSourceAndLayers() helper for reliable layer management
- Use setPaintProperty() for historical vs modern styling distinction
- Improve Database page layout with back buttons and cleaner navigation
- Add ResizableNestedTable component for DuckLake data display
- Optimize spacing and layout in Database.css
- Update schema manifest
- Introduced `llm_extract_archiveslab.py` script for entity and relationship extraction using LLMAnnotator with GLAM-NER v1.7.0.
- Replaced regex-based extraction with generative LLM inference.
- Added functions for loading markdown content, converting annotation sessions to dictionaries, and generating extraction statistics.
- Implemented comprehensive logging of extraction results, including counts of entities, relationships, and specific types like heritage institutions and persons.
- Results and statistics are saved in JSON format for further analysis.
- Implemented `generate_mermaid_with_instances.py` to create ER diagrams that include all classes, relationships, enum values, and instance data.
- Loaded instance data from YAML files and enriched enum definitions with meaningful annotations.
- Configured output paths for generated diagrams in both frontend and schema directories.
- Added support for excluding technical classes and limiting the number of displayed enum and instance values for readability.
- Implemented a Python script to validate KB library YAML files for required fields and data quality.
- Analyzed enrichment coverage from Wikidata and Google Maps, generating statistics.
- Created a comprehensive markdown report summarizing validation results and enrichment quality.
- Included error handling for file loading and validation processes.
- Generated JSON statistics for further analysis.
- Introduced a comprehensive class diagram for the heritage custodian observation reconstruction schema.
- Defined multiple classes including AllocationAgency, ArchiveOrganizationType, AuxiliaryDigitalPlatform, and others, with relevant attributes and relationships.
- Established inheritance and associations among classes to represent complex relationships within the schema.
- Generated on 2025-11-28, version 0.9.0, excluding the Container class.
- Implemented a Python script that fetches and enriches entries from the NDE Register using data from Wikidata.
- Utilized the Wikibase REST API and SPARQL endpoints for data retrieval.
- Added logging for tracking progress and errors during the enrichment process.
- Configured rate limiting based on authentication status for API requests.
- Created a structured output in YAML format, including detailed enrichment data.
- Generated a log file summarizing the enrichment process and results.
- 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.
- Created the Country class with ISO 3166-1 alpha-2 and alpha-3 codes, ensuring minimal design without additional metadata.
- Integrated the Country class into CustodianPlace and LegalForm schemas to support country-specific feature types and legal forms.
- Removed duplicate keys in FeatureTypeEnum.yaml, resulting in 294 unique feature types.
- Eliminated "Hypernyms:" text from FeatureTypeEnum descriptions, verifying that semantic relationships are now conveyed through ontology mappings.
- Created example instance file demonstrating integration of Country with CustodianPlace and LegalForm.
- Updated documentation to reflect the completion of the Country class implementation and hypernyms removal.
- 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.
- Implemented three independent aspects for custodians: CustodianLegalStatus, CustodianName, and CustodianPlace.
- Renamed CustodianReconstruction to CustodianLegalStatus and updated all references.
- Created new components for CustodianPlace and PlaceSpecificityEnum.
- Removed direct links from CustodianObservation to Custodian, aligning with PROV-O standards.
- Generated comprehensive example instance demonstrating the new architecture.
- Updated documentation to reflect changes and provide guidance on multi-aspect modeling.
- Added React hook for managing IndexedDB operations, including storing and loading transformation results.
- Created complete YAML example for Rijksmuseum, illustrating the integration of all three aspects.
