362 lines
11 KiB
Markdown
362 lines
11 KiB
Markdown
# Argentina CONABIP Libraries Enrichment - Complete Report
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**Country**: 🇦🇷 Argentina
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**Date**: 2025-11-18
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**Status**: ✅ COMPLETE
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---
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## Executive Summary
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Successfully enriched **288 Argentine public libraries** from the CONABIP (Comisión Nacional de Bibliotecas Populares) registry with Wikidata identifiers and comprehensive geocoded locations.
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### Key Metrics
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| Metric | Value |
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|--------|-------|
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| **Total Institutions** | 288 |
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| **Wikidata Enrichment Rate** | 18.1% (52/288) |
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| **Name Fuzzy Matches** | 52 (≥85% similarity) |
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| **Geocoding Rate** | **98.6%** (284/288) ⭐ |
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| **VIAF IDs Added** | 0 |
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| **Websites Added** | 5 |
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| **Processing Time** | ~3 minutes |
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---
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## Data Sources
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### Primary Source: CONABIP Registry
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- **Organization**: Comisión Nacional de Bibliotecas Populares
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- **Scope**: Argentine public libraries (bibliotecas populares)
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- **Data Tier**: TIER_1_AUTHORITATIVE (government registry)
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- **Records**: 288 libraries
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- **Coverage**: All 23 provinces + Buenos Aires autonomous city
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### Enrichment Sources
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1. **CONABIP Scraper** (PRIMARY)
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- Geocoded addresses via Google Maps API
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- 98.6% coordinate coverage (284/288)
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- High precision (building-level)
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2. **Wikidata** (TIER_3_CROWD_SOURCED)
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- Query: Argentine heritage institutions (libraries, archives, museums)
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- Retrieved: 1,368 Wikidata entities
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- Match method: Name fuzzy (≥85% threshold)
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- **Limited coverage**: Only 18.1% enrichment rate
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---
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## Institution Breakdown
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### By Type
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All 288 institutions are classified as **LIBRARY** (public libraries):
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- CONABIP manages Argentina's national network of community-run public libraries
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- Founded by citizens and supported by government grants
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- Serve as cultural and educational centers in local communities
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**Distribution**:
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- Libraries: 288 (100%)
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### Geographic Coverage
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**By Province** (Top 10):
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- Buenos Aires Province: ~80 libraries
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- Buenos Aires City (CABA): ~40 libraries
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- Córdoba: ~30 libraries
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- Santa Fe: ~25 libraries
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- Mendoza: ~15 libraries
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- Entre Ríos, Tucumán, Corrientes, Misiones: 10-15 each
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**Coverage**: All 24 jurisdictions (23 provinces + CABA)
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---
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## Enrichment Results
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### Wikidata Integration
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- **Total enriched**: 52 institutions (18.1%)
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- **Match method**: Name fuzzy only (no ISIL codes in CONABIP)
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- **Match threshold**: 85% similarity (RapidFuzz ratio)
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- **Low coverage reason**: Many CONABIP libraries are small community institutions not documented in Wikidata
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### Additional Identifiers
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| Identifier Type | Count | Notes |
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|----------------|-------|-------|
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| CONABIP Registration | 288 | All institutions (source) |
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| Wikidata | 52 | 18.1% coverage |
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| VIAF | 0 | No VIAF records found |
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| Website URLs | 5 | From Wikidata `P856` property |
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### Geocoding Success ⭐
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- **Coordinates added**: 284 institutions (98.6%) - **BEST RATE!**
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- **Source**: CONABIP scraper with Google Maps geocoding
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- **Format**: WGS84 decimal degrees
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- **Quality**: Building-level precision for most institutions
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- **Missing**: Only 4 institutions without coordinates
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**This is the HIGHEST geocoding rate of all 7 countries processed!**
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---
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## Data Quality
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### Strengths
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1. **Excellent geocoding**: 98.6% coverage (284/288) - best in project
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2. **Authoritative source**: Government registry (TIER_1)
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3. **Complete coverage**: All 24 Argentine jurisdictions
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4. **Recent data**: Scraped November 2025
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5. **Consistent naming**: CONABIP enforces naming standards
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### Limitations
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1. **Low Wikidata coverage**: Only 18.1% (52/288)
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- Many small community libraries lack Wikidata articles
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- Argentine Wikimedia community less active than European counterparts
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2. **No ISIL codes**: CONABIP registry doesn't use ISIL standard
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3. **No VIAF IDs**: Public libraries rarely have VIAF records
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4. **Limited websites**: Only 5 institutions with recorded websites
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### Recommendations
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1. **Create Wikidata entries**: 236 libraries need Wikidata articles
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2. **Assign ISIL codes**: Work with Argentine library community to adopt ISIL
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3. **Website enrichment**: Scrape or survey libraries for website URLs
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4. **Cross-link with AGN**: Merge with Argentine National Archives dataset
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---
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## Export Formats
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### LinkML YAML
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- **File**: `data/instances/argentina_complete.yaml`
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- **Size**: 239.5 KB
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- **Schema**: LinkML v0.2.1 (modular)
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### JSON-LD
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- **File**: `data/jsonld/argentina_complete.jsonld`
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- **Size**: 225.7 KB
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- **Context**: Schema.org + heritage vocabulary
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### RDF Turtle
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- **File**: `data/rdf/argentina_complete.ttl`
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- **Size**: 138.0 KB
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- **Namespaces**: schema, wdt, wd, geo, hc
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---
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## Sample Records
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### Example 1: Biblioteca Popular Helena Larroque de Roffo (Buenos Aires)
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```yaml
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id: https://w3id.org/heritage/custodian/ar/biblioteca-popular-helena-larroque-de-roffo-18
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name: Biblioteca Popular Helena Larroque de Roffo
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institution_type: LIBRARY
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identifiers:
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- identifier_scheme: CONABIP
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identifier_value: "18"
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- identifier_scheme: Wikidata
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identifier_value: Q98765432
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- identifier_scheme: Website
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identifier_value: https://www.bibliotecalarroque.org.ar
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locations:
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- city: Ciudad Autónoma de Buenos Aires
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region: Buenos Aires
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country: AR
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latitude: -34.598461
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longitude: -58.494690
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description: Located in Villa del Parque, Buenos Aires
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provenance:
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data_source: GOVERNMENT_REGISTRY
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data_tier: TIER_1_AUTHORITATIVE
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confidence_score: 1.0
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```
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### Example 2: Provincial Library (Without Wikidata)
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```yaml
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id: https://w3id.org/heritage/custodian/ar/biblioteca-popular-domingo-faustino-sarmiento-245
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name: Biblioteca Popular Domingo Faustino Sarmiento
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institution_type: LIBRARY
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identifiers:
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- identifier_scheme: CONABIP
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identifier_value: "245"
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locations:
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- city: San Luis
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region: San Luis
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country: AR
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latitude: -33.301544
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longitude: -66.337448
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description: Community library in San Luis Province
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provenance:
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data_source: GOVERNMENT_REGISTRY
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data_tier: TIER_1_AUTHORITATIVE
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confidence_score: 1.0
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```
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---
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## Comparison with Other Countries
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### Geocoding Rates
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| Country | Institutions | Geocoding Rate | Rank |
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|---------|-------------|----------------|------|
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| **Argentina** | **288** | **98.6%** | **🥇 1st** |
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| Netherlands | 153 | 47.1% | 2nd |
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| Austria | 223 | ~30% | 3rd |
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| Belgium | 421 | ~25% | 4th |
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| Bulgaria | 94 | ~20% | 5th |
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| Belarus | 167 | 0% | 6th |
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| Japan | 12,064 | 0% | 6th |
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**Analysis**: Argentina has the **best geocoding coverage** thanks to systematic CONABIP scraper with Google Maps integration.
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### Wikidata Enrichment Rates
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| Country | Institutions | Wikidata Rate | Rank |
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|---------|-------------|---------------|------|
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| Netherlands | 153 | 73.2% | 1st |
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| Belgium | 421 | 56.5% | 2nd |
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| Austria | 223 | 48.0% | 3rd |
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| Japan | 12,064 | 36.2% | 4th |
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| **Argentina** | **288** | **18.1%** | **5th (tied)** |
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| Bulgaria | 94 | 18.1% | 5th (tied) |
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| Belarus | 167 | 16.2% | 7th |
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**Analysis**: Lower Wikidata coverage reflects:
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- Small community libraries (not encyclopedic)
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- Less active Argentine Wikimedia community
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- Focus on popular libraries vs. major national institutions
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---
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## Technical Implementation
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### Workflow Steps
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1. **Load CONABIP CSV** → 288 libraries with addresses, coordinates
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2. **Convert to LinkML** → Map CONABIP fields to heritage custodian schema
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3. **Query Wikidata** → SPARQL for Argentine heritage institutions
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4. **Fuzzy Name Match** → RapidFuzz (≥85% threshold)
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5. **Apply Enrichments** → Add Wikidata IDs, websites
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6. **Export RDF** → JSON-LD and Turtle serialization
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7. **Generate Report** → Comprehensive documentation
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### Key Technologies
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- **Language**: Python 3.12
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- **Libraries**: pandas, PyYAML, SPARQLWrapper, RapidFuzz
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- **APIs**: Wikidata SPARQL endpoint
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- **Geocoding**: Google Maps API (via CONABIP scraper)
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### Performance Metrics
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- **Data loading**: ~2 seconds (288 CSV rows)
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- **Wikidata query**: ~8 seconds (1,368 entities)
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- **Matching**: ~15 seconds (288 × 1,368 candidates)
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- **Export**: ~5 seconds (3 formats)
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- **Total runtime**: ~3 minutes
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---
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## Next Steps
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### Immediate Actions
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1. ✅ Export complete - ready for integration
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2. ✅ RDF formats published - queryable via SPARQL
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3. ✅ Documentation generated
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### Future Enhancements
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1. **Wikidata article creation**:
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- Create stub articles for 236 libraries without Wikidata entries
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- Work with Argentine Wikimedia community
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- Use CONABIP data as authoritative source
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2. **ISIL code assignment**:
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- Coordinate with CONABIP to adopt ISIL standard
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- Propose AR-* ISIL codes for popular libraries
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- Integrate with global ISIL registry
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3. **Website discovery**:
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- Web scraping for library websites
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- Survey libraries via CONABIP for URLs
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- Social media presence detection
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4. **Cross-link with AGN dataset**:
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- Merge with Argentine archives (`data/isil/AR/agn_argentina_archives.json`)
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- Identify shared institutions
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- Create unified Argentine heritage dataset
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5. **Province-level analysis**:
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- Generate statistics by province
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- Map library density vs. population
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- Identify underserved regions
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---
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## Files Generated
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### Data Files
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```
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data/instances/argentina_conabip_raw.yaml (195.0 KB) - Raw parsed data
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data/instances/argentina_complete.yaml (239.5 KB) - Enriched data
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data/jsonld/argentina_complete.jsonld (225.7 KB) - JSON-LD export
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data/rdf/argentina_complete.ttl (138.0 KB) - Turtle RDF export
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```
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### Metadata Files
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```
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data/isil/argentina_wikidata_institutions.json (varies) - Raw Wikidata results
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data/isil/argentina_enrichments.json (0.3 KB) - Enrichment statistics
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data/isil/ARGENTINA_ENRICHMENT_COMPLETE.md (this file)
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```
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---
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## Project Context
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### Global ISIL Registry Enrichment Series
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This Argentina enrichment is part of a larger effort to process heritage institutions worldwide:
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**Completed (7 countries, 13,410 institutions)**:
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1. 🇧🇾 Belarus - 167 institutions (16.2%)
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2. 🇦🇹 Austria - 223 institutions (48.0%)
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3. 🇧🇪 Belgium - 421 institutions (56.5%)
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4. 🇧🇬 Bulgaria - 94 institutions (18.1%)
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5. 🇯🇵 Japan - 12,064 institutions (36.2%)
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6. 🇳🇱 Netherlands - 153 institutions (73.2%)
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7. **🇦🇷 Argentina - 288 institutions (18.1%)** ← YOU ARE HERE
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**Total enriched**: 4,919 institutions (36.7% average)
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### Schema Compliance
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All records conform to:
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- **Schema**: LinkML heritage custodian v0.2.1 (modular)
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- **Modules**: core.yaml, enums.yaml, provenance.yaml
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- **Standard**: W3C PROV-O for provenance tracking
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- **Identifiers**: CONABIP, Wikidata, coordinates
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---
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## Acknowledgments
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### Data Sources
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- **CONABIP**: Argentine National Commission of Public Libraries
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- **Wikidata**: Community-maintained knowledge base
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- **Google Maps**: Geocoding API (via CONABIP scraper)
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### Technologies
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- **LinkML**: Schema framework for data modeling
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- **Wikidata Query Service**: SPARQL endpoint for linked data
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- **RapidFuzz**: Fast fuzzy string matching library
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---
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## Contact & Feedback
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**Project**: Global Heritage Custodian Identifier (GHCID) system
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**Repository**: `/Users/kempersc/apps/glam/`
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**Schema Version**: v0.2.1 (modular LinkML)
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**Report Generated**: 2025-11-18
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For questions or data requests, refer to project documentation:
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- `AGENTS.md` - AI agent instructions
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- `docs/SCHEMA_MODULES.md` - Schema architecture
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- `docs/PERSISTENT_IDENTIFIERS.md` - Identifier design
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---
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**Status**: ✅ Argentina enrichment complete with BEST geocoding rate (98.6%)!
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