kempersc/glam
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions
glam/SESSION_SUMMARY_20251120_SACHSEN_ANHALT_STARTED.md
kempersc edb1e07941 updated schemata
2025-11-21 22:12:33 +01:00

12 KiB
Raw Blame History

Session Summary: Sachsen-Anhalt GLAM Harvest Started

Date: 2025-11-20
Status: Sachsen-Anhalt foundation laid (166 institutions), ready for expansion

Completed Tasks

1. Thüringen Archives v4.0 - 100% Extraction ✅ COMPLETE

Achievement: Perfect extraction from Thüringen archives website

Problem Solved: Fixed DOM extraction bug (wrapper div pattern)

  • Changed: h4.nextElementSibling → h4.parent.nextElementSibling
  • Fixed 4 metadata fields to 95.6% completeness

Results:

  • 149 archives harvested with comprehensive metadata
  • 95.6% metadata completeness = 100% of available website data
  • Improvements:
    • Physical addresses: 0% → 100%
    • Directors: 0% → 96%
    • Opening hours: 0% → 99.3%
    • Archive histories: 0% → 84.6%

Dataset Integration:

  • Merged 9 new Thüringen institutions
  • Enriched 95 existing institutions with v4.0 metadata
  • German dataset v4-enriched: 20,944 institutions (39.6 MB)

Files:

  • data/isil/germany/thueringen_archives_100percent_20251120_095757.json (612 KB, 149 archives)
  • data/isil/germany/german_institutions_unified_v4_enriched_20251120_121945.json (39.6 MB)
  • Scripts: harvest_thueringen_archives_100percent.py, merge_thueringen_to_german_dataset.py, enrich_existing_thueringen_records.py

Documentation: 5 comprehensive reports on Thüringen harvest/merge/enrichment

2. Sachsen-Anhalt GLAM Harvest - Foundation Established ✅ PARTIAL

Achievement: Established Sachsen-Anhalt dataset with 166 institutions

Sources Harvested

A. Landesarchiv Sachsen-Anhalt ✅

B. Museumsverband Sachsen-Anhalt ✅

Merged Dataset:

  • 166 total institutions (162 museums + 4 archives)
  • File: data/isil/germany/sachsen_anhalt_merged_20251120_133126.json (184.1 KB)

Data Quality

Field Completeness Notes
Name 166/166 (100%) All institutions have names
Institution Type 166/166 (100%) Classified as MUSEUM or ARCHIVE
Description 162/166 (97.6%) Rich descriptions from museum directory
Website 166/166 (100%) All have URLs
City 4/166 (2.4%) LIMITATION: Only archives have city data
Street Address 0/166 (0.0%) Not extracted
Postal Code 0/166 (0.0%) Not extracted

Geographic Coverage: 4 cities confirmed (Magdeburg, Wernigerode, Merseburg, Dessau)

Limitations Encountered

Museum Detail Page Scraping Failed

Problem: Museumsverband website blocked automated requests

  • Attempts to scrape individual museum pages timed out
  • 162 museums lack city/address data
  • Rate limiting or bot detection likely cause

Impact:

  • City coverage: 2.4% (only 4 archives have city data)
  • Cannot generate accurate geographic distribution
  • Limits integration with German national dataset

Attempted Solutions:

  1. ❌ DDB SPARQL endpoint - 404 Not Found (endpoint unavailable)
  2. ❌ DDB Search API - Requires authentication key
  3. ❌ Museum detail page scraping - Requests blocked/timed out

Next Steps for Sachsen-Anhalt

Priority 1: Extract City Data for 162 Museums

Options:

  1. Manual City Extraction (Quick Win)

    • Museum names often contain city references
    • Example: "Heimatmuseum Aken" → City: "Aken"
    • Use regex/NLP to extract city from name field
    • Cross-reference with Sachsen-Anhalt city list

  2. Alternative Data Sources

    • Archivportal-D: Sachsen-Anhalt regional filter
    • ULB Sachsen-Anhalt: Digital collections metadata
    • OpenStreetMap: Geocode museum names
    • Wikidata: SPARQL query for Sachsen-Anhalt museums

  3. Manual Enrichment

    • Visit museum detail pages manually
    • Extract city/address for top 20-30 museums
    • Prioritize major cities (Halle, Magdeburg, Dessau)

Priority 2: Expand Institution Coverage

Targets:

  • Libraries: University libraries (Halle, Magdeburg), public libraries
  • More archives: Municipal archives, city archives
  • Expected: 50-100 additional institutions

Sources:

  • DBV (Deutscher Bibliotheksverband): Library directory
  • Archivportal-D: Archive search with Sachsen-Anhalt filter
  • Regional library networks (Bibliotheksverbund Sachsen-Anhalt)

Priority 3: Integrate into German Dataset

Once city data is complete:

  • Run fuzzy matching with German national dataset (20,944 institutions)
  • Identify duplicates (90% name similarity + city match)
  • Non-destructive enrichment
  • Target: German dataset v5 with full Sachsen-Anhalt coverage

Technical Learnings (Apply to Future Harvests)

1. DOM Wrapper Pattern

Lesson: Always check for empty wrapper divs between elements

# ❌ WRONG - Skips wrapper divs
value = h4.nextElementSibling.get_text()

# ✅ CORRECT - Handles wrapper divs
value = h4.parent.nextElementSibling.get_text()

Applied to: Thüringen archives v4.0 (fixed 4 metadata fields)

2. Website Anti-Scraping Detection

Lesson: Some websites block automated requests after N requests

Signs:

  • Requests hang/timeout
  • No response after initial successful requests
  • Server returns empty responses

Mitigation:

  • Add delays between requests (0.5-2 seconds)
  • Rotate User-Agent headers
  • Use browser automation (Playwright) instead of requests library
  • Implement retry logic with exponential backoff

Encountered: Museumsverband Sachsen-Anhalt detail pages

3. NLP City Extraction from Museum Names

Pattern: Many German museum names contain city references

Examples:

  • "Heimatmuseum Aken" → City: "Aken"
  • "Museum Schloss Allstedt" → City: "Allstedt"
  • "Annaburger Porzellaneum" → City: "Annaburg"

Strategy:

  1. Remove museum type keywords ("Heimatmuseum", "Museum", "Schloss", etc.)
  2. Remaining text often = city name
  3. Validate against Sachsen-Anhalt city list (20 major cities + 200+ towns)
  4. Confidence score based on match

To Implement: scripts/extract_cities_from_museum_names.py

4. Multi-Source Data Fusion

Lesson: No single source has complete data - merge strategically

Thüringen Example:

  • v2.0 harvest: 60% completeness
  • v4.0 debugging: 95.6% completeness (100% of available data)
  • Merged with German dataset: Enriched 95 existing institutions

Sachsen-Anhalt Strategy:

  • Archives: Complete metadata (city, address, website)
  • Museums: Partial metadata (name, description, website)
  • Next: Add libraries for comprehensive coverage

Files Created This Session

Thüringen (Complete)

Harvest Scripts:

  • scripts/scrapers/harvest_thueringen_archives_100percent.py (v4.0 - perfect extraction)

Merge Scripts:

  • scripts/merge_thueringen_to_german_dataset.py (9 new institutions)
  • scripts/enrich_existing_thueringen_records.py (95 enriched institutions)

Datasets:

  • data/isil/germany/thueringen_archives_100percent_20251120_095757.json (612 KB, 149 archives)
  • data/isil/germany/german_institutions_unified_v4_enriched_20251120_121945.json (39.6 MB, 20,944 institutions)

Documentation:

  • THUERINGEN_100_PERCENT_EXTRACTION_ACHIEVED.md
  • THUERINGEN_COMPREHENSIVE_HARVEST_SESSION_20251120.md
  • THUERINGEN_V4_ENRICHMENT_COMPLETE.md
  • THUERINGEN_V4_MERGE_COMPLETE.md
  • SESSION_SUMMARY_20251120_THUERINGEN_100_PERCENT.md

Sachsen-Anhalt (Partial)

Harvest Scripts:

  • scripts/scrapers/harvest_sachsen_anhalt_archives.py (v1.0 - 4 archives)
  • scripts/scrapers/harvest_sachsen_anhalt_museums.py (v1.0 - 162 museums)
  • scripts/scrapers/enrich_sachsen_anhalt_museums.py (v1.0 - blocked by website)

Merge Scripts:

  • scripts/merge_sachsen_anhalt_datasets.py (v1.0 - 166 institutions)

Alternative Approaches (Attempted):

  • scripts/scrapers/harvest_sachsen_anhalt_ddb.py (DDB SPARQL - endpoint unavailable)
  • scripts/scrapers/harvest_sachsen_anhalt_ddb_api.py (DDB API - requires auth)

Datasets:

  • data/isil/germany/sachsen_anhalt_archives_20251120_131330.json (3.2 KB, 4 archives)
  • data/isil/germany/sachsen_anhalt_museums_20251120_132541.json (180.7 KB, 162 museums)
  • data/isil/germany/sachsen_anhalt_merged_20251120_133126.json (184.1 KB, 166 institutions)

Documentation:

  • SESSION_SUMMARY_20251120_SACHSEN_ANHALT_STARTED.md (this file)

Statistics Summary

German GLAM Dataset Progress

Dataset Institutions Status Completeness
Thüringen 149 archives ✅ Complete 95.6%
Sachsen-Anhalt 166 institutions 🔄 Partial 2.4% city, 100% name/website
German Unified 20,944 institutions ✅ v4-enriched Comprehensive

Sachsen-Anhalt Institution Breakdown

Type Count City Data Address Data
Museums 162 0 (0%) 0 (0%)
Archives 4 4 (100%) 0 (0%)
Total 166 4 (2.4%) 0 (0%)

Next Milestone

Goal: 50-150 Sachsen-Anhalt institutions with 80%+ city coverage

Estimated Effort:

  1. NLP city extraction: 1-2 hours (automated)
  2. Alternative data sources: 2-4 hours (Archivportal-D, libraries)
  3. Merge + integration: 1 hour

Timeline: Complete Sachsen-Anhalt harvest in next session

Recommendations for Next Agent

Immediate Actions (Priority Order)

  1. Extract cities from museum names (Quick Win)

    • Create scripts/extract_cities_from_museum_names.py
    • Use regex + Sachsen-Anhalt city list
    • Expected: 80-90% city coverage improvement

  2. Query Archivportal-D for Sachsen-Anhalt archives

    • Filter by region: Sachsen-Anhalt
    • Expected: 20-30 additional archives

  3. Harvest Sachsen-Anhalt libraries

    • Sources: DBV library directory, ULB digital collections
    • Expected: 30-50 libraries

  4. Merge expanded dataset into German v5

    • Fuzzy matching deduplication
    • Non-destructive enrichment
    • Target: German dataset v5 with 21,000+ institutions

Alternative: Move to Next German Region

If Sachsen-Anhalt city extraction proves difficult:

Option: Pivot to another well-documented German region

  • Sachsen (Saxony): Large dataset, good APIs
  • Niedersachsen (Lower Saxony): Comprehensive archives
  • Hessen (Hesse): Strong library coverage

Rationale: Maximize dataset growth while avoiding blocked websites

Key Metrics

Session Productivity

  • Thüringen: 149 archives, 95.6% completeness (PERFECT ✅)
  • Sachsen-Anhalt: 166 institutions, foundation established
  • German dataset: 20,944 institutions (v4-enriched)
  • Total new records: 166 Sachsen-Anhalt + 9 Thüringen = 175 institutions
  • Scripts created: 10 harvest/merge/enrich scripts
  • Documentation: 6 comprehensive reports

Code Quality

  • ✅ DOM debugging patterns documented
  • ✅ Fuzzy matching deduplication (90% threshold)
  • ✅ Non-destructive enrichment workflow
  • ✅ Multi-source data fusion strategies

Data Quality

  • ✅ Thüringen: 100% of available website data extracted
  • 🔄 Sachsen-Anhalt: Name/website complete, city data needs improvement
  • ✅ German dataset: Comprehensive 19-type GLAMORCUBESFIXPHDNT coverage

Contact & Continuity

Session ID: 2025-11-20 (Thüringen 100% + Sachsen-Anhalt Started)

Handoff Notes:

  • Thüringen is COMPLETE - no further action needed
  • Sachsen-Anhalt has 166 institutions ready for city enrichment
  • German dataset v4-enriched is PRODUCTION READY (20,944 institutions)

Resume Command:

cd /Users/kempersc/apps/glam
python scripts/extract_cities_from_museum_names.py  # Next priority

Questions for Next Agent:

  1. Should we complete Sachsen-Anhalt or move to next region?
  2. Should we prioritize city extraction or alternative data sources?
  3. When should we integrate Sachsen-Anhalt into German dataset v5?

End of Session Summary