kempersc 3c80de87e0 add isil entries

2025-11-19 23:25:22 +01:00

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Session Summary: Mexican Wikidata Enrichment - Batch 2 Complete

Date: 2025-11-13
Session Focus: Mexican institution Wikidata enrichment - Batch 2 execution and validation

Executive Summary

Successfully completed Batch 2 enrichment of Mexican heritage institutions, adding Wikidata Q-numbers and VIAF identifiers to 4 institutions with perfect name matches (100% fuzzy score). Current Wikidata coverage: 16/117 institutions (13.7%).

What We Did

1. Batch 2 Script Execution

Script: scripts/enrich_mexico_batch02.py

Target Institutions (4 perfect matches from SPARQL query):

✅ Archivo General de la Nación
- Wikidata: Q2860534
- VIAF: 159570855
✅ Museo Frida Kahlo
- Wikidata: Q2663377
- VIAF: 144233695
✅ Museo Soumaya
- Wikidata: Q2097646
- VIAF: 135048064
✅ Museo de Antropología de Xalapa
- Wikidata: Q1841655
- VIAF: 138582541

Results:

✅ All 4 institutions successfully enriched
✅ No duplicates created
✅ Enrichment history metadata added with timestamps
✅ Coverage increased from 10.3% to 13.7%

Current Dataset Status

File: data/instances/mexico/mexican_institutions_geocoded.yaml

Coverage Statistics

Metric	Count	Percentage
Total institutions	117	100%
With Wikidata ID	16	13.7%
With VIAF ID	12	10.3%
Batch 1 enriched	6	5.1%
Batch 2 enriched	4	3.4%
Pre-existing IDs	6	5.1%

Complete List of Wikidata-Enriched Institutions

Institution	Q-Number	Source
Museo Nacional de Antropología	Q524249	Pre-existing
Museo Nacional de Arte (MUNAL)	Q1138147	Pre-existing
Biblioteca Nacional de México	Q5495070	Pre-existing
Instituto Nacional de Antropología e Historia	Q901361	Batch 1 (2025-11-12 09:52)
Cineteca Nacional	Q1092492	Batch 1 (2025-11-12 09:52)
Fototeca Nacional	Q66432183	Batch 1 (2025-11-12 09:52)
Archivo General de la Nación	Q2860534	Batch 2 (2025-11-12 15:51)
Museo Frida Kahlo	Q2663377	Batch 2 (2025-11-12 15:51)
Museo Soumaya	Q2097646	Batch 2 (2025-11-12 15:51)
Museo de Antropología de Xalapa	Q1841655	Batch 2 (2025-11-12 15:51)

Note: 6 additional institutions have Wikidata IDs but appear to have been added during initial data extraction or earlier processing.

Verification Performed

Data Integrity Checks

✅ Identifier Addition: Wikidata and VIAF identifiers correctly added to identifiers array
✅ Provenance Tracking: enrichment_history entries created with:
- Enrichment date: 2025-11-12T15:51:51+00:00
- Method: Wikidata SPARQL query + VIAF cross-reference (Batch 2)
- Match score: N/A (perfect matches from previous query)
✅ No Duplicates: Duplicate detection logic prevented re-enrichment
✅ URL Formatting: Identifier URLs correctly formatted:
- Wikidata: https://www.wikidata.org/wiki/Q[number]
- VIAF: https://viaf.org/viaf/[number]

Sample Record Verification: Museo Soumaya

- name: Museo Soumaya
  institution_type: MUSEUM
  identifiers:
    - identifier_scheme: Wikidata
      identifier_value: Q2097646
      identifier_url: https://www.wikidata.org/wiki/Q2097646
    - identifier_scheme: VIAF
      identifier_value: '135048064'
      identifier_url: https://viaf.org/viaf/135048064
  provenance:
    enrichment_history:
      - enrichment_date: 2025-11-12T15:51:51.459641+00:00
        enrichment_method: Wikidata SPARQL query + VIAF cross-reference (Batch 2)

Next Steps

Immediate Priorities

Validate Medium-Confidence Matches (70-80% fuzzy scores)
- Review 3 candidate institutions from previous SPARQL query:
  - Q2917489 vs "Museo Regional de Puebla" (79%)
  - Q1402600 vs "Museo de las Culturas de Oaxaca" (71%)
  - Q1954283 vs "Museo Universitario Arte Contemporáneo" (70%)
- Manually verify name variations and institution identity
- Create Batch 3 script if matches are confirmed
Expand Wikidata Query Coverage
- Run SPARQL query with OFFSET to discover additional Mexican institutions
- Target: Find 10-15 more institutions (reach 20-25% coverage)
- Query variations to try:
  - Search by Mexican city names (Ciudad de México, Guadalajara, Monterrey, etc.)
  - Search by institution type (Q33506 for museums, Q7075 for libraries)
  - Search by P131 (located in administrative territory) for Mexican states
Create Batch 3+ Scripts
- Design script for next set of verified matches
- Continue iterative enrichment process
- Document each batch with match confidence scores

Long-Term Goals

Coverage Targets:

Phase 1 (Current): 13.7% → 20% (24/117 institutions)
Phase 2: 20% → 35% (41/117 institutions)
Phase 3: 35% → 50% (59/117 institutions)

Quality Assurance:

Implement manual verification workflow for matches <85% confidence
Cross-reference with Mexican ISIL registry (if available)
Validate institution identities using official websites

Documentation:

Create enrichment methodology document
Document name variation patterns for Mexican institutions
Build fuzzy matching configuration for Spanish language

Technical Notes

Script Pattern (Reusable for Future Batches)

# Key components of batch enrichment scripts:
1. Load YAML dataset
2. Define target institutions with Q-numbers and VIAF IDs
3. Duplicate detection (skip already-enriched)
4. Add identifiers to institution records
5. Update provenance.enrichment_history
6. Write updated YAML
7. Report statistics

Enrichment Metadata Structure

provenance:
  enrichment_history:
    - enrichment_date: "2025-11-12T15:51:51+00:00"
      enrichment_method: "Wikidata SPARQL query + VIAF cross-reference (Batch N)"
      match_score: [optional - for fuzzy matches]
      verified: [optional - for manual verification]

Lessons Learned

Perfect Matches First: Prioritizing 100% fuzzy score matches minimizes false positives
Duplicate Detection: Essential to prevent identifier duplication in re-runs
Provenance Tracking: Enrichment history enables audit trails and batch tracking
VIAF Cross-Reference: Wikidata → VIAF lookup adds valuable authority control identifiers

Files Modified

Data File: data/instances/mexico/mexican_institutions_geocoded.yaml
- Added 4 Wikidata identifiers
- Added 4 VIAF identifiers
- Updated 4 provenance records
Script Created: scripts/enrich_mexico_batch02.py
- Pattern-based enrichment workflow
- Reusable for future batches

References

Previous Session: SESSION_SUMMARY_20251112_MEXICO_RECONCILIATION.md
Batch 1 Script: scripts/enrich_mexico_batch01.py
Dataset: data/instances/mexico/mexican_institutions_geocoded.yaml
Wikidata Query: Previous SPARQL query for Mexican institutions (100 results)

Handoff for Next Session

Status: ✅ Batch 2 complete - Ready for Batch 3 planning

To Resume:

Review medium-confidence matches (70-80% scores)
Query Wikidata with OFFSET=100 for additional institutions
Create Batch 3 script for next set of verified matches

Key Question: Should we validate the 3 medium-confidence matches manually, or expand the Wikidata query first to find more high-confidence matches?

Current Progress: 16/117 institutions (13.7%) - 101 institutions remaining without Wikidata identifiers.

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