Research SHACL protocol standardization#8
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arne-bdt merged 2 commits intoNov 14, 2025
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Created comprehensive SHACL protocol specification with advanced features: - Flexible shapes sources (local datasets, remote endpoints, inline) - Cross-dataset validation (shapes from dataset A, data from dataset B) - Result persistence (store validation reports in any dataset/graph) - Version control integration (branch/commit/asOf selectors) - Multiple validation modes (separate, merged, dataset-level) Key improvements over Apache Jena Fuseki: - Multi-dataset support for shapes and data - Historical validation using version control selectors - Persistent storage of validation reports for trend analysis - Remote endpoint support for distributed validation - Full integration with CQRS + Event Sourcing architecture Files added: - protocol/SHACL_Validation_Protocol.md: Complete W3C-style specification - protocol/SHACL_Protocol_Summary.md: Implementation guide and roadmap 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Created comprehensive task breakdown for SHACL validation: - 12 tasks organized into 6 phases - 32-43 hours total estimated effort - 18-24 hours for MVP (Phases 1-3) Phase 1 (Core Validation - MVP): - Task 1: Core Infrastructure (DTOs, exceptions, config) - Task 2: Basic Inline Validation (Fuseki compatibility) - Task 3: Local Graph Reference Resolution (cross-dataset) Phase 2 (Cross-Dataset Support): - Task 4: Cross-dataset validation polish - Task 5: Validation modes (separate, merged, dataset) Phase 3 (Result Persistence): - Task 6: Result Storage with CQRS (critical for historical analysis) - Task 7: Version Control Integration for results Phase 4 (Version Control Integration): - Task 8: Selectors for shapes/data (branch/commit/asOf) Phase 5 (Remote Endpoint Support): - Task 9: Remote endpoint client - Task 10: Security controls (SSRF prevention) Phase 6 (Advanced Features - Optional): - Task 11: Performance optimization - Task 12: Batch validation Key Features: - Use shapes from any graph in any dataset (local or remote) - Cross-dataset validation (shapes from A, data from B, results in C) - Store validation results for trend analysis - Historical validation (validate against past states) - CQRS + Event Sourcing integration - Fuseki-compatible inline validation Files created: - .tasks/shacl/README.md - Overview, architecture, configuration - .tasks/shacl/TASK_LIST.md - Complete task summary - .tasks/shacl/01-core-infrastructure.md - DTOs, exceptions, config - .tasks/shacl/02-basic-inline-validation.md - Apache Jena integration - .tasks/shacl/03-local-graph-references.md - Cross-dataset validation - .tasks/shacl/06-result-storage-cqrs.md - CQRS result persistence Each task file includes: - Detailed implementation steps - Code examples (Java) - Integration/unit test specifications - Success criteria - Verification commands - References to protocol specs Ready for incremental implementation session-by-session. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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November 14, 2025 14:12
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