e5a532a8bc
- Introduced `test_nlp_extractor.py` with unit tests for the InstitutionExtractor, covering various extraction patterns (ISIL, Wikidata, VIAF, city names) and ensuring proper classification of institutions (museum, library, archive). - Added tests for extracted entities and result handling to validate the extraction process. - Created `test_partnership_rdf_integration.py` to validate the end-to-end process of extracting partnerships from a conversation and exporting them to RDF format. - Implemented tests for temporal properties in partnerships and ensured compliance with W3C Organization Ontology patterns. - Verified that extracted partnerships are correctly linked with PROV-O provenance metadata.
14 lines
388 B
Python
14 lines
388 B
Python
"""
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Wikidata enrichment utilities for heritage institution data.
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This module provides two-tier search strategies:
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1. Primary: SPARQL queries (fast, structured)
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2. Fallback: MediaWiki API search (slower, broader coverage)
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"""
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from .search import search_wikidata_mediawiki, search_wikidata_with_fallback
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__all__ = [
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'search_wikidata_mediawiki',
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'search_wikidata_with_fallback'
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]
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