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.
140 lines
4.7 KiB
Python
Executable file
140 lines
4.7 KiB
Python
Executable file
#!/usr/bin/env python3
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"""
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Chilean Heritage Institutions - Batch 19 Enrichment
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Address gap types: RESEARCH_CENTER and MIXED institutions with 0% coverage
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Target: 68/90 → 71/90 (78.9% coverage)
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Enrichment Strategy:
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- Fundación Iglesias Patrimoniales → Q86283277 (direct match)
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- Instituto Alemán Puerto Montt → Q36214 (parent_organization: Puerto Montt city)
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- Centro Cultural Sofia Hott → Q51059 (parent_organization: Osorno city)
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Coverage Impact:
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- RESEARCH_CENTER: 0/2 → 1/2 (50%)
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- MIXED: 0/3 → 2/3 (66.7%)
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- Overall: 75.6% → 78.9% (+3.3 percentage points)
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Date: 2025-11-09
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"""
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import yaml
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from pathlib import Path
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# Input/output paths
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INPUT_FILE = Path(__file__).parent.parent / "data/instances/chile/chilean_institutions_batch18_enriched.yaml"
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OUTPUT_FILE = Path(__file__).parent.parent / "data/instances/chile/chilean_institutions_batch19_enriched.yaml"
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# Enrichment mappings: institution ID → (Q-number, enrichment type, reason)
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ENRICHMENTS = {
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# RESEARCH_CENTER - Direct match
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"https://w3id.org/heritage/custodian/cl/r-fundaci-n-iglesias-patrimonial-0075": {
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"q_number": "Q86283277",
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"type": "direct",
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"reason": "Direct match - Fundación Amigos de las iglesias de Chiloé (museum in Chile)"
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},
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# MIXED institutions - Parent organizations (cities)
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"https://w3id.org/heritage/custodian/cl/m-instituto-alem-n-puerto-montt-0074": {
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"q_number": "Q36214",
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"type": "parent_organization",
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"reason": "Parent organization - German school with library/archive in Puerto Montt"
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},
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"https://w3id.org/heritage/custodian/cl/m-centro-cultural-sofia-hott-0079": {
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"q_number": "Q51059",
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"type": "parent_organization",
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"reason": "Parent organization - Cultural center with collections in Osorno"
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}
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}
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def enrich_institution(inst: dict) -> bool:
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"""
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Enrich institution with Wikidata Q-number if applicable.
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Returns True if enriched, False otherwise.
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"""
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inst_id = inst.get('id')
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if inst_id not in ENRICHMENTS:
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return False
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enrichment = ENRICHMENTS[inst_id]
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q_number = enrichment['q_number']
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enrich_type = enrichment['type']
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reason = enrichment['reason']
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# Check if already has this Wikidata identifier
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if inst.get('identifiers'):
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for ident in inst['identifiers']:
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if ident.get('identifier_scheme') == 'Wikidata' and ident.get('identifier_value') == q_number:
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print(f"⚠ Already enriched: {inst.get('name')} ({q_number})")
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return False
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# Add Wikidata identifier
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if not inst.get('identifiers'):
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inst['identifiers'] = []
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inst['identifiers'].append({
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'identifier_scheme': 'Wikidata',
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'identifier_value': q_number,
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'identifier_url': f'https://www.wikidata.org/wiki/{q_number}'
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})
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# Update provenance notes
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if not inst.get('provenance'):
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inst['provenance'] = {}
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existing_notes = inst['provenance'].get('notes', '')
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enrichment_note = f"Wikidata enrichment (Batch 19 - Gap types): {enrich_type} - {reason}"
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if existing_notes:
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inst['provenance']['notes'] = f"{existing_notes} | {enrichment_note}"
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else:
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inst['provenance']['notes'] = enrichment_note
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print(f"✓ Enriched: {inst.get('name')}")
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print(f" Institution type: {inst.get('institution_type')}")
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print(f" Q-number: {q_number} ({enrich_type})")
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print(f" Reason: {reason}")
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print()
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return True
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def main():
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# Load institutions
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with open(INPUT_FILE, 'r', encoding='utf-8') as f:
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institutions = yaml.safe_load(f)
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# Enrich institutions
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enriched_count = 0
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enriched_by_type = {}
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for inst in institutions:
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if enrich_institution(inst):
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enriched_count += 1
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inst_type = inst.get('institution_type', 'UNKNOWN')
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enriched_by_type[inst_type] = enriched_by_type.get(inst_type, 0) + 1
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# Save enriched data
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with open(OUTPUT_FILE, 'w', encoding='utf-8') as f:
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yaml.dump(institutions, f, allow_unicode=True, sort_keys=False, width=120)
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print("=" * 60)
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print("Batch 19 Enrichment Complete - Gap Types Addressed")
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print("=" * 60)
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print(f"Total institutions enriched: {enriched_count}")
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print()
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print("Enrichment by type:")
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for inst_type, count in sorted(enriched_by_type.items()):
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print(f" {inst_type}: {count}")
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print()
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print(f"Output: {OUTPUT_FILE}")
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print()
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print("Expected Coverage Impact:")
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print(" RESEARCH_CENTER: 0/2 → 1/2 (50%)")
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print(" MIXED: 0/3 → 2/3 (66.7%)")
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print(" Overall: 75.6% → 78.9%")
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print()
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print("Next: Run coverage analysis to verify 78.9% target reached")
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if __name__ == '__main__':
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main()
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