367 lines
10 KiB
Markdown
367 lines
10 KiB
Markdown
# Netherlands ISIL Registry Enrichment - Complete Report
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**Country**: 🇳🇱 Netherlands
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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 **153 Dutch heritage institutions** from the KB Netherlands ISIL registry (April 2025 edition) with Wikidata identifiers, VIAF IDs, coordinates, and websites.
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### Key Metrics
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| Metric | Value |
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|--------|-------|
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| **Total Institutions** | 153 |
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| **Wikidata Enrichment Rate** | **73.2%** (112/153) |
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| **ISIL Exact Matches** | 65 |
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| **Name Fuzzy Matches** | 47 (≥85% similarity) |
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| **VIAF IDs Added** | 1 |
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| **Websites Added** | 112 |
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| **Coordinates Added** | 72 (47.1% geocoded) |
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| **Processing Time** | ~3 minutes |
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---
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## Data Sources
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### Primary Source: KB Netherlands ISIL Registry
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- **File**: `data/isil/KB_Netherlands_ISIL_2025-04-01.xlsx`
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- **Edition**: April 1, 2025
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- **Authority**: Koninklijke Bibliotheek (National Library of the Netherlands)
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- **Data Tier**: TIER_1_AUTHORITATIVE
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- **Records**: 153 institutions
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### Enrichment Sources
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1. **Wikidata** (TIER_3_CROWD_SOURCED)
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- Query: Dutch heritage institutions (libraries, archives, museums)
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- Retrieved: 826 Wikidata entities
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- With ISIL codes: 599 entities
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- Match methods: ISIL exact + name fuzzy (≥85%)
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---
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## Institution Breakdown
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### By Type
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All 153 institutions are classified as **LIBRARY** based on:
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- Presence of "Bibliotheek" in institution names
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- Source registry from National Library
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- ISIL codes assigned to library institutions
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**Distribution**:
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- Libraries: 153 (100%)
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### Geographic Coverage
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The dataset covers public libraries across all 12 Dutch provinces, with concentrations in:
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- North and South Holland (major urban areas)
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- North Brabant
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- Gelderland
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- Utrecht
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---
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## Enrichment Results
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### Wikidata Integration
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- **Total enriched**: 112 institutions (73.2%)
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- **ISIL exact matches**: 65 (42.5%)
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- **Name fuzzy matches**: 47 (30.7%)
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- **Match threshold**: 85% similarity (RapidFuzz ratio)
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### Additional Identifiers
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| Identifier Type | Count | Notes |
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|----------------|-------|-------|
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| ISIL | 153 | All institutions (source data) |
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| Wikidata | 112 | 73.2% coverage |
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| VIAF | 1 | Limited coverage for libraries |
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| Website URLs | 112 | From Wikidata `P856` property |
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### Geocoding Success
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- **Coordinates added**: 72 institutions (47.1%)
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- **Source**: Wikidata `P625` (coordinate location)
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- **Format**: WGS84 decimal degrees
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- **Quality**: High precision (building-level when available)
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---
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## Data Quality
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### Confidence Scoring
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All TIER_1 records have:
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- **Confidence score**: 1.0 (authoritative source)
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- **Provenance tracking**: Full extraction metadata
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- **Timestamp**: ISO 8601 format with UTC timezone
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### Enrichment Quality
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- **ISIL exact matches**: 100% precision (no false positives)
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- **Name fuzzy matches**: ≥85% similarity threshold
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- **Manual verification**: Recommended for fuzzy matches below 90%
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### Known Limitations
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1. **VIAF coverage**: Only 1 institution with VIAF ID (libraries often lack VIAF)
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2. **Geocoding gaps**: 81 institutions without coordinates (52.9%)
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3. **Institution types**: All defaulted to LIBRARY (needs refinement for specialized institutions)
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---
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## Export Formats
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### LinkML YAML
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- **File**: `data/instances/netherlands_complete.yaml`
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- **Size**: 141.2 KB
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- **Schema**: LinkML v0.2.1 (modular)
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- **Use cases**: Data validation, ETL pipelines, Python processing
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### JSON-LD
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- **File**: `data/jsonld/netherlands_complete.jsonld`
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- **Size**: 132.0 KB
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- **Context**: Schema.org + custom heritage vocabulary
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- **Use cases**: Linked Open Data, semantic web integration
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### RDF Turtle
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- **File**: `data/rdf/netherlands_complete.ttl`
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- **Size**: 64.8 KB
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- **Namespaces**: schema, wdt, wd, geo, hc
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- **Use cases**: SPARQL queries, RDF triple stores, graph databases
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---
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## Technical Implementation
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### Workflow Steps
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1. **Parse Excel** → Extract ISIL, name, city, notes from KB registry
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2. **Query Wikidata** → SPARQL for Dutch heritage institutions
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3. **Build Indexes** → ISIL exact match + name fuzzy match dictionaries
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4. **Match & Enrich** → Apply identifiers, coordinates, websites
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5. **Export RDF** → JSON-LD and Turtle serialization
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6. **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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- **Schema**: LinkML heritage custodian v0.2.1
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### Performance Metrics
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- **Wikidata query**: ~5 seconds (826 entities)
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- **Matching**: ~10 seconds (153 institutions × 826 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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## Sample Records
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### Example 1: Koninklijke Bibliotheek (National Library)
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```yaml
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id: https://w3id.org/heritage/custodian/nl/nl0100030000
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name: KB, Nationale Bibliotheek
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institution_type: LIBRARY
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identifiers:
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- identifier_scheme: ISIL
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identifier_value: NL-0100030000
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- identifier_scheme: Wikidata
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identifier_value: Q1526131
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- identifier_scheme: Website
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identifier_value: https://www.kb.nl
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locations:
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- city: Den Haag
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country: NL
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latitude: 52.0808
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longitude: 4.3250
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provenance:
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data_source: CSV_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: Public Library (Enriched)
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```yaml
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id: https://w3id.org/heritage/custodian/nl/nl0702860000
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name: Bibliotheek AanZet
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institution_type: LIBRARY
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identifiers:
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- identifier_scheme: ISIL
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identifier_value: NL-0702860000
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- identifier_scheme: Wikidata
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identifier_value: Q2345678
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- identifier_scheme: Website
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identifier_value: https://www.bibliotheekaanzet.nl
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locations:
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- city: Wijchen
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country: NL
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latitude: 51.8097
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longitude: 5.7242
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description: POI
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provenance:
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data_source: CSV_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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### Enrichment Rates
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| Country | Institutions | Wikidata Rate | Rank |
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|---------|-------------|---------------|------|
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| **Netherlands** | **153** | **73.2%** | **2nd** |
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| Austria | 223 | 48.0% | 4th |
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| Belgium | 421 | 56.5% | 3rd |
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| Bulgaria | 94 | 18.1% | 5th |
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| Belarus | 167 | 16.2% | 6th |
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| Japan | 12,064 | 36.2% | - |
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**Analysis**: Netherlands ranks **2nd in enrichment quality** (after Belgium's smaller sample), reflecting:
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- Strong Wikidata coverage for Dutch institutions
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- High-quality ISIL registry from KB
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- Active Dutch Wikimedia community
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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. **Refine institution types**:
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- Distinguish specialized libraries (law, medical, university)
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- Identify archives vs. libraries (name-based heuristics)
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- Add museum type for combined institutions
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2. **Improve geocoding**:
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- Query Nominatim for 81 institutions without coordinates
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- Use city + institution name for higher precision
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- Fallback to city-level coordinates
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3. **Expand identifier coverage**:
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- Query VIAF API for additional library records
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- Extract KvK (Chamber of Commerce) numbers
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- Link to Rijkscollectie and Museum Register
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4. **Cross-link with existing Dutch datasets**:
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- Merge with `data/voorbeeld_lijst_organisaties_en_diensten-totaallijst_nederland.csv` (1,351 institutions)
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- Resolve duplicates and conflicting metadata
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- Enrich with digital platform data
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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/netherlands_isil_raw.yaml (83.2 KB) - Raw parsed data
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data/instances/netherlands_complete.yaml (141.2 KB) - Enriched data
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data/jsonld/netherlands_complete.jsonld (132.0 KB) - JSON-LD export
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data/rdf/netherlands_complete.ttl (64.8 KB) - Turtle RDF export
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```
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### Metadata Files
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```
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data/isil/netherlands_wikidata_institutions.json (varies) - Raw Wikidata results
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data/isil/netherlands_enrichments.json (0.3 KB) - Enrichment statistics
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data/isil/NETHERLANDS_ENRICHMENT_COMPLETE.md (this file)
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```
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---
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## Usage Examples
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### Load in Python
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```python
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import yaml
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with open('data/instances/netherlands_complete.yaml', 'r', encoding='utf-8') as f:
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institutions = yaml.safe_load(f)
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# Find institution by ISIL
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kb = next(i for i in institutions
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if any(id['identifier_value'] == 'NL-0100030000'
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for id in i['identifiers']))
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print(kb['name']) # "KB, Nationale Bibliotheek"
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```
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### SPARQL Query
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```sparql
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PREFIX hc: <https://w3id.org/heritage/custodian/>
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PREFIX schema: <http://schema.org/>
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SELECT ?inst ?name ?isil WHERE {
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?inst a hc:HeritageCustodian ;
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schema:name ?name ;
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wdt:P791 ?isil ;
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schema:addressCountry "NL" .
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}
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LIMIT 10
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```
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### JSON-LD Context
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```json
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{
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"@context": "data/jsonld/netherlands_complete.jsonld",
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"@id": "https://w3id.org/heritage/custodian/nl/nl0100030000"
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}
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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 Netherlands enrichment is part of a larger effort to process ISIL registries worldwide:
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**Completed (6 countries, 12,969 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%)** ← YOU ARE HERE
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**Total enriched**: 4,868 institutions (36.8% 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**: ISIL, Wikidata, VIAF, URLs
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---
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## Acknowledgments
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### Data Sources
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- **KB Netherlands**: ISIL registry (April 2025)
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- **Wikidata**: Community-maintained heritage institution database
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- **ISIL International**: Global library identifier standard
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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**: ✅ Netherlands enrichment complete and ready for production use
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