Composable Trust Infrastructure for Manufacturing Knowledge Graphs: Cross-System Provenance, Temporal Reasoning, and Decision Traceability
📰 ArXiv cs.AI
Learn to build a composable trust infrastructure for manufacturing knowledge graphs using SHACL, PROV-O, and bi-temporal versioning to ensure data validity and decision traceability
Action Steps
- Build a knowledge graph using RDF and SHACL validation to ensure data consistency
- Implement PROV-O provenance to track data origin and evolution
- Configure bi-temporal versioning to manage data changes over time
- Create graph-native decision objects to enable decision traceability
- Apply temporal reasoning to validate data at different points in time
Who Needs to Know This
Data scientists, software engineers, and manufacturing experts can benefit from this infrastructure to ensure trust and validity in their knowledge graphs
Key Insight
💡 Composable trust infrastructure enables cross-system provenance, temporal reasoning, and decision traceability in manufacturing knowledge graphs
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🚀 Composable trust infrastructure for manufacturing knowledge graphs! 📈 Ensure data validity and decision traceability with SHACL, PROV-O, and bi-temporal versioning
Full Article
Title: Composable Trust Infrastructure for Manufacturing Knowledge Graphs: Cross-System Provenance, Temporal Reasoning, and Decision Traceability
Abstract:
arXiv:2608.21418v1 Announce Type: new Abstract: Manufacturing knowledge graphs that integrate data from heterogeneous industrial systems face a trust deficit: consumers cannot determine whether queried data is valid, whether it was valid when a decision was made, where it originated, or how it was acted upon. We argue that four trust capabilities -- SHACL validation, PROV-O provenance, domain-aware bi-temporal versioning, and graph-native decision objects -- compose through shared correlation id
Abstract:
arXiv:2608.21418v1 Announce Type: new Abstract: Manufacturing knowledge graphs that integrate data from heterogeneous industrial systems face a trust deficit: consumers cannot determine whether queried data is valid, whether it was valid when a decision was made, where it originated, or how it was acted upon. We argue that four trust capabilities -- SHACL validation, PROV-O provenance, domain-aware bi-temporal versioning, and graph-native decision objects -- compose through shared correlation id
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