Copies authoritative schemas from schemas/20251121/ to:
- frontend/public/schemas/20251121/
- apps/archief-assistent/public/schemas/20251121/
This ensures slot definitions with corrected ontology property
references (commit 2808dad6cd) are available to frontend apps.
- 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
- Introduced LEGAL-FORM-FILTER rule to standardize CustodianName by removing legal form designations.
- Documented rationale, examples, and implementation guidelines for the filtering process.
docs: Create README for value standardization rules
- Established a comprehensive README outlining various value standardization rules applicable to Heritage Custodian classes.
- Categorized rules into Name Standardization, Geographic Standardization, Web Observation, and Schema Evolution.
feat: Implement transliteration standards for non-Latin scripts
- Added TRANSLIT-ISO rule to ensure GHCID abbreviations are generated from emic names using ISO standards for transliteration.
- Included detailed guidelines for various scripts and languages, along with implementation examples.
feat: Define XPath provenance rules for web observations
- Created XPATH-PROVENANCE rule mandating XPath pointers for claims extracted from web sources.
- Established a workflow for archiving websites and verifying claims against archived HTML.
chore: Update records lifecycle diagram
- Generated a new Mermaid diagram illustrating the records lifecycle for heritage custodians.
- Included phases for active records, inactive archives, and processed heritage collections with key relationships and classifications.
- 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.
