225 lines
7.5 KiB
Markdown
225 lines
7.5 KiB
Markdown
# Session Summary: Mexican Wikidata Enrichment - Batch 2 Complete
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**Date**: 2025-11-13
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**Session Focus**: Mexican institution Wikidata enrichment - Batch 2 execution and validation
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---
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## Executive Summary
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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%)**.
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---
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## What We Did
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### 1. Batch 2 Script Execution
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**Script**: `scripts/enrich_mexico_batch02.py`
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**Target Institutions** (4 perfect matches from SPARQL query):
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1. ✅ **Archivo General de la Nación**
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- Wikidata: Q2860534
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- VIAF: 159570855
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2. ✅ **Museo Frida Kahlo**
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- Wikidata: Q2663377
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- VIAF: 144233695
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3. ✅ **Museo Soumaya**
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- Wikidata: Q2097646
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- VIAF: 135048064
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4. ✅ **Museo de Antropología de Xalapa**
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- Wikidata: Q1841655
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- VIAF: 138582541
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**Results**:
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- ✅ All 4 institutions successfully enriched
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- ✅ No duplicates created
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- ✅ Enrichment history metadata added with timestamps
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- ✅ Coverage increased from 10.3% to 13.7%
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---
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## Current Dataset Status
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**File**: `data/instances/mexico/mexican_institutions_geocoded.yaml`
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### Coverage Statistics
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| Metric | Count | Percentage |
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|--------|-------|------------|
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| Total institutions | 117 | 100% |
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| With Wikidata ID | 16 | 13.7% |
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| With VIAF ID | 12 | 10.3% |
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| Batch 1 enriched | 6 | 5.1% |
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| Batch 2 enriched | 4 | 3.4% |
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| Pre-existing IDs | 6 | 5.1% |
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### Complete List of Wikidata-Enriched Institutions
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| Institution | Q-Number | Source |
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|------------|----------|--------|
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| Museo Nacional de Antropología | Q524249 | Pre-existing |
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| Museo Nacional de Arte (MUNAL) | Q1138147 | Pre-existing |
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| Biblioteca Nacional de México | Q5495070 | Pre-existing |
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| Instituto Nacional de Antropología e Historia | Q901361 | Batch 1 (2025-11-12 09:52) |
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| Cineteca Nacional | Q1092492 | Batch 1 (2025-11-12 09:52) |
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| Fototeca Nacional | Q66432183 | Batch 1 (2025-11-12 09:52) |
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| **Archivo General de la Nación** | **Q2860534** | **Batch 2 (2025-11-12 15:51)** |
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| **Museo Frida Kahlo** | **Q2663377** | **Batch 2 (2025-11-12 15:51)** |
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| **Museo Soumaya** | **Q2097646** | **Batch 2 (2025-11-12 15:51)** |
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| **Museo de Antropología de Xalapa** | **Q1841655** | **Batch 2 (2025-11-12 15:51)** |
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*Note: 6 additional institutions have Wikidata IDs but appear to have been added during initial data extraction or earlier processing.*
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---
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## Verification Performed
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### Data Integrity Checks
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1. ✅ **Identifier Addition**: Wikidata and VIAF identifiers correctly added to `identifiers` array
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2. ✅ **Provenance Tracking**: `enrichment_history` entries created with:
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- Enrichment date: `2025-11-12T15:51:51+00:00`
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- Method: `Wikidata SPARQL query + VIAF cross-reference (Batch 2)`
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- Match score: N/A (perfect matches from previous query)
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3. ✅ **No Duplicates**: Duplicate detection logic prevented re-enrichment
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4. ✅ **URL Formatting**: Identifier URLs correctly formatted:
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- Wikidata: `https://www.wikidata.org/wiki/Q[number]`
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- VIAF: `https://viaf.org/viaf/[number]`
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### Sample Record Verification: Museo Soumaya
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```yaml
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- name: Museo Soumaya
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institution_type: MUSEUM
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identifiers:
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- identifier_scheme: Wikidata
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identifier_value: Q2097646
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identifier_url: https://www.wikidata.org/wiki/Q2097646
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- identifier_scheme: VIAF
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identifier_value: '135048064'
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identifier_url: https://viaf.org/viaf/135048064
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provenance:
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enrichment_history:
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- enrichment_date: 2025-11-12T15:51:51.459641+00:00
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enrichment_method: Wikidata SPARQL query + VIAF cross-reference (Batch 2)
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```
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---
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## Next Steps
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### Immediate Priorities
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1. **Validate Medium-Confidence Matches** (70-80% fuzzy scores)
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- Review 3 candidate institutions from previous SPARQL query:
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- Q2917489 vs "Museo Regional de Puebla" (79%)
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- Q1402600 vs "Museo de las Culturas de Oaxaca" (71%)
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- Q1954283 vs "Museo Universitario Arte Contemporáneo" (70%)
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- Manually verify name variations and institution identity
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- Create Batch 3 script if matches are confirmed
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2. **Expand Wikidata Query Coverage**
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- Run SPARQL query with OFFSET to discover additional Mexican institutions
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- Target: Find 10-15 more institutions (reach 20-25% coverage)
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- Query variations to try:
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- Search by Mexican city names (Ciudad de México, Guadalajara, Monterrey, etc.)
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- Search by institution type (Q33506 for museums, Q7075 for libraries)
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- Search by P131 (located in administrative territory) for Mexican states
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3. **Create Batch 3+ Scripts**
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- Design script for next set of verified matches
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- Continue iterative enrichment process
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- Document each batch with match confidence scores
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### Long-Term Goals
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**Coverage Targets**:
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- **Phase 1** (Current): 13.7% → 20% (24/117 institutions)
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- **Phase 2**: 20% → 35% (41/117 institutions)
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- **Phase 3**: 35% → 50% (59/117 institutions)
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**Quality Assurance**:
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- Implement manual verification workflow for matches <85% confidence
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- Cross-reference with Mexican ISIL registry (if available)
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- Validate institution identities using official websites
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**Documentation**:
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- Create enrichment methodology document
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- Document name variation patterns for Mexican institutions
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- Build fuzzy matching configuration for Spanish language
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---
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## Technical Notes
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### Script Pattern (Reusable for Future Batches)
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```python
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# Key components of batch enrichment scripts:
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1. Load YAML dataset
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2. Define target institutions with Q-numbers and VIAF IDs
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3. Duplicate detection (skip already-enriched)
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4. Add identifiers to institution records
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5. Update provenance.enrichment_history
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6. Write updated YAML
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7. Report statistics
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```
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### Enrichment Metadata Structure
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```yaml
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provenance:
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enrichment_history:
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- enrichment_date: "2025-11-12T15:51:51+00:00"
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enrichment_method: "Wikidata SPARQL query + VIAF cross-reference (Batch N)"
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match_score: [optional - for fuzzy matches]
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verified: [optional - for manual verification]
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```
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### Lessons Learned
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1. **Perfect Matches First**: Prioritizing 100% fuzzy score matches minimizes false positives
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2. **Duplicate Detection**: Essential to prevent identifier duplication in re-runs
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3. **Provenance Tracking**: Enrichment history enables audit trails and batch tracking
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4. **VIAF Cross-Reference**: Wikidata → VIAF lookup adds valuable authority control identifiers
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---
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## Files Modified
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1. **Data File**: `data/instances/mexico/mexican_institutions_geocoded.yaml`
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- Added 4 Wikidata identifiers
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- Added 4 VIAF identifiers
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- Updated 4 provenance records
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2. **Script Created**: `scripts/enrich_mexico_batch02.py`
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- Pattern-based enrichment workflow
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- Reusable for future batches
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---
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## References
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- **Previous Session**: `SESSION_SUMMARY_20251112_MEXICO_RECONCILIATION.md`
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- **Batch 1 Script**: `scripts/enrich_mexico_batch01.py`
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- **Dataset**: `data/instances/mexico/mexican_institutions_geocoded.yaml`
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- **Wikidata Query**: Previous SPARQL query for Mexican institutions (100 results)
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---
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## Handoff for Next Session
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**Status**: ✅ Batch 2 complete - Ready for Batch 3 planning
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**To Resume**:
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1. Review medium-confidence matches (70-80% scores)
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2. Query Wikidata with OFFSET=100 for additional institutions
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3. Create Batch 3 script for next set of verified matches
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**Key Question**: Should we validate the 3 medium-confidence matches manually, or expand the Wikidata query first to find more high-confidence matches?
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**Current Progress**: 16/117 institutions (13.7%) - 101 institutions remaining without Wikidata identifiers.
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