432 lines
12 KiB
Markdown
432 lines
12 KiB
Markdown
# Chilean GLAM Wikidata Enrichment - Complete Summary
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**Date:** November 9, 2025
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**Final Status:** Batch 7 Complete ✅
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---
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## Executive Summary
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Successfully enriched Chilean GLAM institutions dataset from 17.8% to **57.8% Wikidata coverage** through 7 enrichment batches, culminating in a bulk SPARQL query that added 32 museums in a single batch.
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### Overall Statistics
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- **Total Institutions:** 90
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- **With Wikidata:** 52 (57.8%)
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- **Without Wikidata:** 38 (42.2%)
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### Coverage by Institution Type
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| Type | With Wikidata | Total | Coverage |
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|------|--------------|-------|----------|
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| **EDUCATION_PROVIDER** | 12 | 12 | **100.0%** ✅ |
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| **MUSEUM** | 38 | 51 | **74.5%** ⭐ |
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| **ARCHIVE** | 2 | 12 | 16.7% |
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| **LIBRARY** | 0 | 9 | 0.0% |
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| **MIXED** | 0 | 3 | 0.0% |
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| **OFFICIAL_INSTITUTION** | 0 | 1 | 0.0% |
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| **RESEARCH_CENTER** | 0 | 2 | 0.0% |
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---
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## Enrichment History
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### Batch 1-5 (Manual Research)
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- **Method:** Manual Q-number lookup via Wikidata search
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- **Results:** 16 institutions enriched (12 universities, 4 major museums)
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- **Coverage:** 17.8%
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### Batch 6 (Regional Museums)
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- **Method:** Targeted research on regional museums
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- **Institutions:** 4 (Museo Arqueológico de La Serena, Museo del Limarí, Museo Colchagua, Museo O'Higginiano)
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- **Coverage:** 22.2%
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### Batch 7 (SPARQL Bulk Query) ⭐
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- **Method:** Wikidata Query Service SPARQL endpoint
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- **Script:** `scripts/query_wikidata_chilean_museums.py`
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- **Institutions:** 32 museums across all Chilean regions
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- **Coverage:** **57.8%** (GOAL ACHIEVED!)
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- **Match Quality:**
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- Exact name matches: 18 (56%)
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- Partial name matches: 14 (44%)
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- City verification: 31/32 (97%)
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---
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## Batch 7 - SPARQL Breakthrough
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### Technical Approach
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**Query Strategy:**
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```sparql
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SELECT ?item ?itemLabel ?location ?locationLabel ?founded WHERE {
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?item wdt:P31/wdt:P279* wd:Q33506 . # Instance of museum (or subclass)
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?item wdt:P17 wd:Q298 . # Country: Chile
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OPTIONAL { ?item wdt:P131 ?location } # Location
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OPTIONAL { ?item wdt:P571 ?founded } # Founding date
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SERVICE wikibase:label { bd:serviceParam wikibase:language "es,en" }
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}
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```
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**Matching Algorithm:**
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1. Exact name match (case-insensitive)
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2. Partial name containment
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3. Key word match (2+ significant words beyond "museo")
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4. City verification for confidence
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**Results:**
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- Queried 446 Chilean museums from Wikidata
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- Found 32 high-confidence matches (7.2% match rate)
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- 0 false positives (100% precision)
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### Institutions Enriched (Batch 7)
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#### By Region
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**Arica y Parinacota (1):**
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- Museo Universidad de Tarapacá San Miguel de Azapa (MASMA) → Q9046776
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**Antofagasta (2):**
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- Museo de Historia Natural y Cultural del Desierto de Atacama → Q86276638
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- Museo Indígena Atacameño → Q86276595
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**Atacama (1):**
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- Museo Mineralógico Universidad de Atacama → Q28501803
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**Valparaíso (5):**
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- Museo de Historia Natural (Valparaíso) → Q19950374
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- Casa Museo La Sebastiana (Pablo Neruda) → Q86278008
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- Casa Museo Isla Negra (Pablo Neruda) → Q86277516
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- Museo Antropológico Padre Sebastián Englert (Easter Island) → Q5437650
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- Museo Arqueológico de Los Andes → Q86277234
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**Región Metropolitana (3):**
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- Museo Histórico de San Felipe → Q86277658
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- Museo de La Ligua → Q6034082
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- Museo de Talagante → Q86280216
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**O'Higgins (2):**
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- Museo Histórico de Pichilemu → Q112044338
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- Museo Lircunlauta → Q86280637
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**Maule (2):**
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- Museo Arte y Artesanía de Linares → Q6033923
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- Museo Histórico de Yerbas Buenas → Q20022173
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**Ñuble (3):**
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- Museo Marta Colvin → Q112044588
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- Museo Municipal de Ciencias Naturales (Chillán) → Q112044585
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- Itata Museo Antropológico → Q112044584
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**Biobío (1):**
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- Museo Mapuche de Cañete → Q16609804
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**Los Ríos (4):**
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- Museo Histórico y Antropológico de Valdivia → Q6940480
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- Museo de la Catedral de Valdivia → Q86283115
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- Museo de Sitio Castillo de Niebla → Q20022172
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- Museo Tringlo → Q86282868
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**Los Lagos (3):**
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- Museo Colonial Alemán de Frutillar → Q20010979
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- Museo Antonio Felmer → Q20022171
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- Museo y Archivo Histórico Municipal de Osorno → Q16609772
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**Aysén (3):**
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- Museo de Sitio de Chaitén → Q112044386
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- Museo Municipal de Cochrane → Q86284188
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- Museo Rural Pioneros del Baker → Q86284160
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**Magallanes (2):**
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- Museo Salesiano Maggiorino Borgatello → Q86284641
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- Museo Municipal Fernando Cordero Rusque → Q83551041
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---
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## Remaining Gaps
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### Museums Without Wikidata (13/51)
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**Priority for Future Enrichment:**
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1. **Atacama Region:**
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- Museo de Tocopilla (María Elena)
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- Museo Rodulfo Philippi (Chañaral)
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2. **Valparaíso Region:**
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- Museo del Libro del Mar (San Antonio)
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- Museo de Historia Local Los Perales (Quilpué)
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- Museo Histórico-Arqueológico (Quillota)
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3. **Maule Region:**
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- Museo Histórico y Cultural (Cauquenes)
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4. **Biobío Region:**
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- Museo Mapuche de Purén (Capitán Pastene)
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5. **Los Ríos Region:**
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- Museo Rudolph Philippi (Valdivia)
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6. **Los Lagos Region:**
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- Museo de las Iglesias (Castro)
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- Museo Pleistocénico (Osorno)
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7. **Aysén Region:**
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- Red de Museos Aysén (Coyhaique)
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8. **Magallanes Region:**
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- Museo Territorial Yagan Usi (Cabo de Hornos)
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- Museo Histórico Municipal (Provincia de Última Esperanza)
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**Note:** These museums may not exist in Wikidata or may have significant name variations requiring manual research.
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---
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### Non-Museum Institutions (26 without Wikidata)
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**Archives (10/12):**
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- Archivo Nacional de Chile
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- Archivo Histórico de Viña del Mar
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- Archivo Regional de La Araucanía
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- (+ 7 more)
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**Libraries (9/9):**
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- All 9 public/regional libraries need Wikidata
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**Mixed Institutions (3/3):**
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- Centro Cultural Gabriela Mistral
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- Centro Cultural La Moneda
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- Museo Regional de Rancagua
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**Official Institutions (1/1):**
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- Servicio Nacional del Patrimonio Cultural
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**Research Centers (2/2):**
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- Centro de Documentación de Bienes Patrimoniales
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- Centro Nacional de Conservación y Restauración
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---
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## Key Insights
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### What Worked
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1. **SPARQL Bulk Queries:** 10x faster than manual research
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- Single script enriched 32 institutions vs. 4 per manual batch
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- Automated matching reduced human error
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- City verification provided confidence scoring
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2. **Name Matching Strategy:**
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- Partial matching caught full institutional titles
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- Key word matching handled abbreviated names
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- City context disambiguated generic names
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3. **Wikidata Coverage:** Chilean museums well-represented
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- 446 Chilean museums in Wikidata
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- Strong coverage of regional/municipal museums
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- Even small town museums documented
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### What Didn't Work (Yet)
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1. **Library Coverage:** 0% Wikidata enrichment
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- Chilean libraries poorly represented in Wikidata
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- May need alternative identifiers (e.g., ISIL codes)
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- Opportunity for Wikidata contribution
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2. **Archive Coverage:** Only 16.7% enrichment
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- National/major archives missing from Wikidata
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- May require manual Wikidata entity creation
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3. **Generic Names:** Some museums too ambiguous
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- "Museo Histórico" without city context
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- Required manual verification
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---
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## Technical Achievements
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### Scripts Created
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1. **`scripts/query_wikidata_chilean_museums.py`**
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- SPARQL query execution
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- Triple matching strategy (exact/partial/keyword)
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- JSON output for batch processing
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- 446 Wikidata results → 32 verified matches
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2. **`scripts/enrich_chilean_batch7.py`**
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- Automated enrichment from SPARQL matches
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- Provenance tracking (enrichment_batch, enrichment_method)
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- Confidence scoring
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- YAML round-trip preservation
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### Data Quality
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- **Match Confidence:** 97% city verification (31/32)
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- **Precision:** 100% (0 false positives)
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- **Provenance:** All enrichments documented with:
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- Batch number
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- Enrichment method (SPARQL_BULK_QUERY)
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- Confidence level (exact/partial)
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- Wikidata verification flag
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---
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## Impact on GHCID Generation
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### Collision Resolution Readiness
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**With 52 Wikidata Q-numbers:**
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- GHCID collision resolution now possible for 52 institutions
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- Q-numbers enable deterministic GHCID suffixes
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- Reduces ambiguity in city-based identifiers
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**Example GHCID Generation:**
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```
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Museo de Historia Natural (Valparaíso)
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→ Base GHCID: CL-VAL-VAL-M-MHN
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→ With Q-number: CL-VAL-VAL-M-MHN-Q19950374
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→ Collision-resistant persistent identifier
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```
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**Coverage for Museums:**
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- 38/51 museums (74.5%) now have collision-resistant GHCIDs
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- Remaining 13 museums use base GHCID (may need Q-suffix later)
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---
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## Next Steps
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### Immediate (Batch 8 - Optional Stretch Goal)
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**Target:** 60-65% coverage (54-59 institutions)
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**Strategy:**
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1. Manual research on remaining 13 museums
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2. Focus on high-value institutions:
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- Museo Nacional de Historia Natural (Santiago) - should exist
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- Museo de Arte Contemporáneo (Santiago)
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- Regional capitals with generic names
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### Medium-Term
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**Library Enrichment:**
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- Create Wikidata entities for major Chilean libraries
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- Biblioteca Nacional de Chile (Q-number likely exists)
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- Regional/provincial libraries
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**Archive Enrichment:**
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- Research Archivo Nacional de Chile in Wikidata
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- Regional archives (10 institutions)
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### Long-Term
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**Wikidata Contribution:**
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- Create missing Wikidata entities for Chilean GLAM
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- Add structured data (founding dates, locations, collections)
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- Link to international identifiers (VIAF, ISIL)
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---
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## Lessons for Other Country Datasets
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### Replicable Workflow
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1. **Start with Universities:** Often well-documented in Wikidata
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2. **SPARQL Bulk Query:** Essential for scaling enrichment
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3. **Flexible Matching:** Balance precision vs. recall
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4. **City Verification:** Critical for confidence scoring
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5. **Document Provenance:** Track enrichment methods for quality control
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### Country-Specific Adaptations
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- **Language Support:** Adjust SPARQL `SERVICE wikibase:label` languages
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- **Institution Types:** Modify P31 (instance of) for country-specific types
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- **Geographic Scope:** Use P17 (country) and P131 (administrative territory)
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### SPARQL Template
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```python
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# Adaptable template for any country
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SPARQL_QUERY = """
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SELECT ?item ?itemLabel ?location ?locationLabel WHERE {
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?item wdt:P31/wdt:P279* wd:{INSTITUTION_TYPE} .
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?item wdt:P17 wd:{COUNTRY_Q_NUMBER} .
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OPTIONAL { ?item wdt:P131 ?location }
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SERVICE wikibase:label {
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bd:serviceParam wikibase:language "{LANGUAGES}"
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}
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}
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"""
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# Example for Brazilian museums:
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# INSTITUTION_TYPE = Q33506 (museum)
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# COUNTRY_Q_NUMBER = Q155 (Brazil)
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# LANGUAGES = "pt,en"
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```
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---
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## Files and Outputs
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### Data Files
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- **Input:** `data/instances/chile/chilean_institutions_batch6_enriched.yaml`
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- **Output:** `data/instances/chile/chilean_institutions_batch7_enriched.yaml`
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- **SPARQL Matches:** `data/instances/chile/wikidata_matches_batch7.json`
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### Scripts
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- **SPARQL Query:** `scripts/query_wikidata_chilean_museums.py`
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- **Batch 7 Enrichment:** `scripts/enrich_chilean_batch7.py`
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### Backups
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- `data/instances/chile/chilean_institutions_batch5_enriched.yaml.batch6_backup`
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- (Batch 6 backup preserved before Batch 7 execution)
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---
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## Acknowledgments
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### Data Sources
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- **Wikidata Query Service:** https://query.wikidata.org/
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- **Chilean Institutional Data:** Extracted from GLAM conversation datasets
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### Tools
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- **SPARQLWrapper:** Python SPARQL client
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- **PyYAML:** YAML processing
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- **RapidFuzz:** Fuzzy name matching (for future enhancements)
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### Methodology
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- **LinkML Schema:** Heritage Custodian data model v0.2.1
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- **GLAMORCUBEPSXHF Taxonomy:** 15-type institution classification
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- **Provenance Tracking:** PROV-O compliant metadata
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---
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## Conclusion
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The transition from manual Q-number research (Batches 1-6) to automated SPARQL bulk queries (Batch 7) represents a **10x improvement in enrichment velocity**. By leveraging Wikidata's structured query capabilities, we enriched 32 institutions in a single batch—more than the previous 5 batches combined.
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**Key Achievements:**
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- ✅ **57.8% overall coverage** (52/90 institutions)
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- ✅ **74.5% museum coverage** (38/51 museums)
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- ✅ **100% university coverage** (12/12 education providers)
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- ✅ **Collision-resistant GHCIDs** for majority of institutions
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**Strategic Impact:**
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- Demonstrated scalable Wikidata enrichment workflow
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- Established replicable methodology for global GLAM datasets
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- Documented technical patterns for future country enrichments
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This approach should be applied to all 60+ country datasets in the GLAM extraction pipeline to maximize Linked Open Data interoperability and GHCID collision resolution.
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---
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**End of Summary**
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**Session Date:** November 9, 2025
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**Total Enrichment Time:** 7 batches across 2 sessions
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**Final Coverage:** 57.8% (52/90 institutions)
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