semantica

Query the Semantica knowledge graph using SPARQL, Cypher, keyword search, and structured graph query patterns.

Trace data lineage, source attribution, audit trails, and provenance assertions in Semantica graphs.

Define and enforce policies, access controls, and compliance rules over Semantica knowledge graphs.

Manage ontology schemas, concepts, relationships, and alignments for Semantica knowledge graphs.

Ingest data from files, databases, APIs, or streams into Semantica knowledge graphs with schema mapping and entity linking.

Run the full Semantica semantic extraction pipeline on a file or selected text — NER, relations, events, coreference resolution, triplets, and validation. Clears result cache before each run. Returns Markdown tables with entity/relation/event/triplet results and inline validator warnings.

Export Semantica graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats.

Explain Semantica reasoning, decision logic, and graph results with traceability, causal context, and human-readable rationale.

Detect duplicate entities, duplicate groups, and relationship duplicates in Semantica using fuzzy matching, schema heuristics, and graph similarity.

Full decision lifecycle in Semantica — record, query, find precedents (hybrid/advanced), analyze influence, explain, insights dashboard, list, and record exceptions. Uses AgentContext, ContextGraph, DecisionQuery, CausalChainAnalyzer, DecisionRecorder.

Track and inspect graph changes, diffs, temporal updates, and the impact of new data on Semantica knowledge graphs.

Analyze cause-and-effect relationships in the Semantica knowledge graph — causal chains, interventions, counterfactuals, and causal influence scores.

Semantica full-stack knowledge graph skill for context graphs, decision intelligence, explainability, extraction, reasoning, visualization, ontology, provenance, policy, and export workflows.