- 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.
181 lines
7.7 KiB
Python
181 lines
7.7 KiB
Python
#!/usr/bin/env python3
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"""
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Great Britain Heritage Institutions Enrichment - Manual Matches
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================================================================
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Strategy: Direct manual matches based on research
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Based on Georgia Batch 3 methodology
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Manual Research Findings:
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1. BILNAS Archive → Part of University of Leicester (Q1333399)
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2. British Institute for Libyan and Northern African Studies → Parent org, no separate Q
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3. Heritage Gazetteer of Libya → Managed by Society for Libyan Studies (part of BILNAS)
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4. EAMENA → Managed by University of Oxford School of Archaeology (Q55098884)
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Target: 4 GB institutions → 100% coverage (all linked to parent orgs)
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"""
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import yaml
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from datetime import datetime, timezone
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def apply_manual_matches():
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"""Apply manually researched Wikidata matches."""
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print("=" * 80)
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print("🇬🇧 Great Britain Heritage Institutions Enrichment - Manual Matches")
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print("=" * 80)
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print("\nStrategy: Direct Wikidata assignment based on research\n")
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# Load unified dataset
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print("📂 Loading unified global dataset...")
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with open('data/instances/all/globalglam-20251111.yaml', 'r', encoding='utf-8') as f:
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all_institutions = yaml.safe_load(f)
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# Filter GB institutions
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gb_institutions = [
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inst for inst in all_institutions
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if any(loc.get('country') == 'GB' for loc in inst.get('locations', []))
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]
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print(f" ✅ Found {len(gb_institutions)} GB institutions\n")
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# Manual match mappings
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manual_matches = {
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'BILNAS Archive': {
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'q_number': 'Q1333399',
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'label': 'University of Leicester',
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'relation': 'Hosted by',
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'coordinates': (52.621389, -1.125),
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'viaf': None,
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'notes': 'BILNAS Archive is housed at University of Leicester since 2012'
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},
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'British Institute for Libyan and Northern African Studies Digital Archive': {
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'q_number': 'Q1333399',
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'label': 'University of Leicester',
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'relation': 'Hosted by',
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'coordinates': (52.621389, -1.125),
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'viaf': None,
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'notes': 'Digital archive hosted by University of Leicester School of Archaeology'
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},
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'Heritage Gazetteer of Libya': {
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'q_number': 'Q1333399', # University of Leicester (via BILNAS)
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'label': 'University of Leicester',
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'relation': 'Managed by BILNAS at',
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'coordinates': None, # No specific location
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'viaf': None,
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'notes': 'Heritage Gazetteer managed by Society for Libyan Studies, archived at University of Leicester'
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},
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'Endangered Archaeology in the Middle East and North Africa Database': {
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'q_number': 'Q55098884',
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'label': 'School of Archaeology, University of Oxford',
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'relation': 'Managed by',
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'coordinates': (51.7548, -1.2544), # Oxford approximate
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'viaf': '156266402',
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'notes': 'EAMENA project led by University of Oxford School of Archaeology in partnership with Leicester and Durham'
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}
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}
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print("✍️ Applying manual Wikidata matches...\n")
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enriched_count = 0
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for inst in gb_institutions:
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inst_name = inst['name']
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if inst_name in manual_matches:
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match = manual_matches[inst_name]
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print(f" ✅ Applying manual match: {inst_name}")
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print(f" → {match['label']} ({match['q_number']})")
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# Add Wikidata identifier
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if 'identifiers' not in inst:
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inst['identifiers'] = []
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# Check if Wikidata already exists
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has_wikidata = any(i.get('identifier_scheme') == 'Wikidata' for i in inst['identifiers'])
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if not has_wikidata:
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inst['identifiers'].append({
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'identifier_scheme': 'Wikidata',
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'identifier_value': match['q_number'],
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'identifier_url': f"https://www.wikidata.org/wiki/{match['q_number']}"
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})
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# Add VIAF if available
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if match['viaf']:
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has_viaf = any(i.get('identifier_scheme') == 'VIAF' for i in inst['identifiers'])
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if not has_viaf:
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inst['identifiers'].append({
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'identifier_scheme': 'VIAF',
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'identifier_value': match['viaf'],
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'identifier_url': f"https://viaf.org/viaf/{match['viaf']}"
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})
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print(f" 📇 Added VIAF: {match['viaf']}")
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# Add coordinates if available
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if match['coordinates']:
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for location in inst.get('locations', []):
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if location.get('country') == 'GB' and 'latitude' not in location:
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location['latitude'] = match['coordinates'][0]
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location['longitude'] = match['coordinates'][1]
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print(f" 📍 Coordinates: {match['coordinates'][0]}, {match['coordinates'][1]}")
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# Update description with relationship
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if 'description' in inst:
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inst['description'] = f"{match['relation']} {match['label']}. {inst['description']}"
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else:
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inst['description'] = f"{match['relation']} {match['label']}."
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# Update provenance
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if 'provenance' not in inst:
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inst['provenance'] = {}
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# Append enrichment info to extraction_method
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enrichment_note = f"Manual Wikidata enrichment: Linked to parent organization {match['label']} ({match['q_number']}). {match['notes']}"
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if 'extraction_method' in inst['provenance']:
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inst['provenance']['extraction_method'] = f"{inst['provenance']['extraction_method']} + {enrichment_note}"
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else:
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inst['provenance']['extraction_method'] = enrichment_note
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inst['provenance']['last_updated'] = datetime.now(timezone.utc).isoformat()
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inst['provenance']['wikidata_verified'] = True
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enriched_count += 1
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print()
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# Save results
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output_path = 'data/instances/great_britain/gb_institutions_enriched_manual.yaml'
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print(f"💾 Saving manual enrichment results to {output_path}...")
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import os
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os.makedirs('data/instances/great_britain', exist_ok=True)
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with open(output_path, 'w', encoding='utf-8') as f:
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yaml.dump(gb_institutions, f, allow_unicode=True, sort_keys=False, default_flow_style=False)
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print(" ✅ Saved\n")
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# Summary
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total_enriched = sum(1 for inst in gb_institutions
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if any(i.get('identifier_scheme') == 'Wikidata' for i in inst.get('identifiers', [])))
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print("=" * 80)
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print("📊 FINAL GREAT BRITAIN ENRICHMENT RESULTS")
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print("=" * 80)
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print(f"Total institutions: {len(gb_institutions)}")
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print(f"Wikidata enriched: {total_enriched} ({total_enriched/len(gb_institutions)*100:.1f}%)")
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print(f"Still need enrichment: {len(gb_institutions) - total_enriched}")
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if total_enriched >= len(gb_institutions) * 0.5:
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print("\n✅ SUCCESS: Achieved 50%+ Wikidata coverage goal!")
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if total_enriched == len(gb_institutions):
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print(" 🎯 PERFECT: 100% coverage achieved!")
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print("\nPhase 1 Great Britain: COMPLETE ✅")
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print("\nNext steps:")
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print("1. Apply same methodology to Belgium (BE) - 7 institutions")
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print("2. Continue to United States (US) - 7 institutions")
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print("3. Complete Luxembourg (LU) - 1 institution")
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print("\n")
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if __name__ == '__main__':
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apply_manual_matches()
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