112 lines
4.3 KiB
Text
112 lines
4.3 KiB
Text
================================================================================
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ARGENTINA CONABIP WIKIDATA ENRICHMENT - SESSION COMPLETE
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================================================================================
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Date: November 17, 2025
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Status: ✅ SUCCESS
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Duration: ~1.5 hours
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ACCOMPLISHMENTS
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================================================================================
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✅ Wikidata enrichment script created (scripts/enrich_argentina_wikidata.py)
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✅ Full dataset processed (288 institutions in 6 minutes)
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✅ 21 institutions enriched with Wikidata Q-numbers (7.3% rate)
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✅ Complete documentation generated
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✅ Ready for LinkML YAML export
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KEY RESULTS
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================================================================================
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Total Institutions: 288
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Wikidata Q-numbers: 21 (7.3%)
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+ VIAF IDs: 1
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+ Websites: 13
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+ Founding dates: 15
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Geographic coverage: 284/288 (98.6%) with coordinates
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Service metadata: 178/288 (61.8%) with services
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Provinces covered: 22 (all Argentine provinces)
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ENRICHED INSTITUTIONS (Sample)
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================================================================================
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• Biblioteca Popular Cornelio Saavedra → Q58406890 (100% match)
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• Biblioteca Popular Florentino Ameghino → Q17622826 (100% match)
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• Biblioteca Popular del Paraná → Q5727856 (100% match)
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• Biblioteca Popular Bartolomé Mitre → Q57777791 (100% match)
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• Biblioteca Popular José Enrique Rodó → Q57781295 (89% match)
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WHY 7.3% ENRICHMENT RATE?
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================================================================================
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This is EXPECTED and APPROPRIATE:
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• CONABIP libraries are small community institutions
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• Wikidata has only 168 Argentine libraries total
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• We prioritized QUALITY over quantity (85% threshold)
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• Zero synthetic/fake Q-numbers (follows project policy)
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• 267 libraries could be added to Wikidata (future opportunity)
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FILES CREATED
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================================================================================
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Main Script:
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scripts/enrich_argentina_wikidata.py (300 lines)
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Enriched Data:
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data/isil/AR/conabip_libraries_wikidata_enriched.json (207 KB)
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Logs:
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data/isil/AR/wikidata_enrichment_full_log.txt (50 KB)
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Documentation:
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docs/sessions/SESSION_SUMMARY_ARGENTINA_WIKIDATA_ENRICHMENT.md
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NEXT_SESSION_HANDOFF.md (updated)
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scripts/check_argentina_enrichment_status.sh (monitoring)
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TECHNICAL HIGHLIGHTS
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================================================================================
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• SPARQL query fetches 168 Argentine libraries from Wikidata
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• Fuzzy matching: 3 strategies (ratio, partial, token_set)
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• Geographic validation (city + province matching)
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• 85% match threshold (quality-first approach)
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• Rate limiting: 1 second per query
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• City normalization (CABA → Buenos Aires)
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NEXT STEPS (Choose One)
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================================================================================
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Option 1: Export to LinkML YAML ⭐ RECOMMENDED
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- Convert JSON to LinkML-compliant YAML instances
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- Use existing parser: src/glam_extractor/parsers/argentina_conabip.py
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- Generate batches of 50 institutions each
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- Estimated time: 1-2 hours
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Option 2: Create Wikidata Entries
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- Add 267 missing libraries to Wikidata
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- Use MCP Wikidata authenticated server
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- Estimated time: 3-4 hours
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Option 3: Integration Testing
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- Merge with global GLAM dataset
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- Validate GHCID uniqueness
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- Generate statistics and visualizations
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- Estimated time: 2-3 hours
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QUICK START FOR NEXT SESSION
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cd /Users/kempersc/apps/glam
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# Check status
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bash scripts/check_argentina_enrichment_status.sh
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# View enriched data
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python3 -c "
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import json
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data = json.load(open('data/isil/AR/conabip_libraries_wikidata_enriched.json'))
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enriched = sum(1 for i in data['institutions']
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if any(id.get('identifier_scheme') == 'Wikidata'
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for id in i.get('identifiers', [])))
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print(f'Enriched: {enriched}/288 institutions')
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"
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# Read handoff document
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cat NEXT_SESSION_HANDOFF.md
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================================================================================
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STATUS: Ready for LinkML YAML export
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BLOCKING ISSUES: None
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DEPENDENCIES: All scripts and data files in place
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================================================================================
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