semantica

Build an auditable knowledge graph by linking facts, provenance, and reasoning paths to create traceable context for AI decisions. Semantica captures provenance and enforces policy to ensure every action is traceable to its sources and rationale.

Provenance tracing in a context graph works by capturing the origin and reasoning path of each fact during ingestion and analysis. Semantica records provenance data alongside graph analytics to ensure AI decisions remain fully traceable and auditable.

The best way to capture provenance for explainable AI is to construct graph-based representations that link facts to their sources and reasoning paths. Semantica provides provenance-aware analysis and SHACL validation to generate auditable decision reports.

Use SPARQL and Datalog reasoning within modular workflows to perform graph analytics including topology, centrality, community detection, and path finding. Semantica applies these reasoning methods to generate decision insights from context graphs.

Export provenance data from a context graph to JSON, RDF, or CSV formats using built-in export workflows. Semantica packages provenance-captured reasoning paths and validated graph data into export-ready formats for external auditing and decision intelligence.