glam/SESSION_SUMMARY_SPARQL_PHASE6_20251122.md
kempersc 6eb18700f0 Add SHACL validation shapes and validation script for Heritage Custodian Ontology
- Created SHACL shapes for validating temporal consistency and bidirectional relationships in custodial collections and staff observations.
- Implemented a Python script to validate RDF data against the defined SHACL shapes using the pyshacl library.
- Added command-line interface for validation with options for specifying data formats and output reports.
- Included detailed error handling and reporting for validation results.
2025-11-22 23:22:10 +01:00

5.3 KiB

Session Summary: Phase 6 - SPARQL Query Library

Date: 2025-11-22
Schema Version: v0.7.0 (stable, no changes)
Duration: ~45 minutes
Status: COMPLETE


What We Did

Phase 6 Goal

Document comprehensive SPARQL query patterns for querying heritage custodian organizational data, collections, and staff relationships.

Deliverable

File: docs/SPARQL_QUERIES_ORGANIZATIONAL.md (1,168 lines)


What Was Created

1. SPARQL Query Documentation (31 Queries)

Category Breakdown:

  • Staff Queries (5): Curators, role changes, expertise matching
  • Collection Queries (5): Managing units, temporal coverage, collection types
  • Combined Staff + Collection (4): Curator-collection matching, department inventories
  • Organizational Change (4): Custody transfers, restructuring impacts, timelines
  • Validation Queries (5): SPARQL equivalents of Phase 5 Python validation rules
  • Advanced Temporal (8): Point-in-time snapshots, tenure analysis, provenance chains

2. Key Features Documented

SPARQL 1.1 Compliance - All queries use standard syntax
Temporal Query Patterns - Allen interval algebra for date overlaps
Validation Queries - RDF triple store equivalents of Phase 5 rules
Aggregation Queries - AVG, COUNT, SUM for analytics
Optimization Tips - Filter placement, OPTIONAL usage, indexing
Usage Examples - Python rdflib + Apache Jena Fuseki

3. Integration with Previous Phases

Phase 3 (Staff Roles):

  • Queries 1.1-1.5 leverage PersonObservation class
  • Role change tracking (Query 1.3)
  • Expertise matching (Query 1.5)

Phase 4 (Collection-Department Integration):

  • Queries 2.1-2.2 use managing_unitmanaged_collections
  • Bidirectional consistency queries (5.2, 5.5)
  • Department inventory reports (Query 3.4)

Phase 5 (Validation Framework):

  • All 5 validation rules converted to SPARQL (Queries 5.1-5.5)
  • Temporal consistency checks
  • Bidirectional relationship validation

Files Created

  1. docs/SPARQL_QUERIES_ORGANIZATIONAL.md (1,168 lines)

    • 31 complete SPARQL queries
    • Expected results + explanations
    • Query optimization guidelines
    • Testing instructions
  2. SPARQL_QUERY_LIBRARY_COMPLETE_20251122.md (completion report)


Key Achievements

1. Comprehensive Query Coverage

  • All 22 classes queryable
  • All 98 slots accessible
  • 5 validation rules in SPARQL
  • 8 advanced temporal patterns

2. Real-World Use Cases

  • Department inventory reports
  • Staff tenure analysis
  • Organizational complexity scoring
  • Provenance chain reconstruction

3. Validation Integration

  • Python validator (Phase 5) for development
  • SPARQL queries for production monitoring
  • Complementary approaches

Technical Highlights

Temporal Query Pattern (Allen Interval Algebra)

# Find entities valid during query period
FILTER(?validFrom <= ?queryEnd)
FILTER(!BOUND(?validTo) || ?validTo >= ?queryStart)

Used in: Queries 1.4, 2.4, 6.1, 6.3

Bidirectional Relationship Validation

# Detect missing inverse relationships
FILTER NOT EXISTS {
  ?unit custodian:managed_collections ?collection
}

Used in: Queries 5.2, 5.5

Provenance Chain Reconstruction

# Trace custody history chronologically
?collection custodian:custody_history ?custodyEvent .
?custodyEvent prov:wasInformedBy ?changeEvent .
ORDER BY ?transferDate

Used in: Queries 4.1, 6.3


Testing Status

Test Type Status Notes
Syntax Validation COMPLETE All queries SPARQL 1.1 compliant
Schema Compatibility COMPLETE Verified against v0.7.0 RDF schema
Instance Data Testing ⚠️ DEFERRED Requires YAML→RDF conversion (Phase 7)

Note: Full end-to-end testing requires converting test instances to RDF triples.


Success Criteria - All Met

Criterion Target Achieved Status
Query Count 20+ 31 155%
Categories 5 6 120%
Examples All queries 31/31 100%
Validation Queries 5 rules 5 queries 100%
Explanations Clear 31/31 100%

What's Next: Phase 7 - SHACL Shapes

Objective

Convert validation queries into SHACL shapes for automatic RDF validation at data ingestion time.

Why SHACL?

  • Prevent invalid data entry (not just detect)
  • Standardized validation reports
  • Triple store integration (GraphDB, Jena)
  • Detailed error messages

Deliverables (Phase 7)

  1. SHACL shape file: schemas/20251121/shacl/custodian_validation_shapes.ttl
  2. Documentation: docs/SHACL_VALIDATION_SHAPES.md
  3. Validation script: scripts/validate_with_shacl.py

Estimated Time

60-75 minutes


References

  • Query Library: docs/SPARQL_QUERIES_ORGANIZATIONAL.md
  • Completion Report: SPARQL_QUERY_LIBRARY_COMPLETE_20251122.md
  • Schema (v0.7.0): schemas/20251121/linkml/01_custodian_name_modular.yaml
  • Test Data: schemas/20251121/examples/collection_department_integration_examples.yaml
  • Phase 5 Summary: SESSION_SUMMARY_VALIDATION_PHASE5_20251122.md

Phase 6 Status: COMPLETE
Next Phase: Phase 7 - SHACL Shapes
Overall Progress: 6/9 phases complete (67%)