semantica-agi/semantica

semantica

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

원문 언어: 영어

causal

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

원문 언어: 영어

explain

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

원문 언어: 영어

deduplicate

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

원문 언어: 영어

export

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

원문 언어: 영어

ingest

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

원문 언어: 영어

change

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

원문 언어: 영어

decision

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.

원문 언어: 영어

embed

Generate, inspect, and use node/text embeddings in Semantica — compute Node2Vec embeddings, find similar nodes, score link predictions, batch similarity, and pairwise similarity. Uses NodeEmbedder, SimilarityCalculator, LinkPredictor, and AgentContext.…

원문 언어: 영어

extract

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…

원문 언어: 영어

ontology

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

원문 언어: 영어

policy

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

원문 언어: 영어

provenance

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

원문 언어: 영어

query

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

원문 언어: 영어

reason

Run reasoning over the Semantica knowledge graph — deductive logic, abductive hypothesis generation, Datalog programs, SPARQL queries, Rete network evaluation. Uses DeductiveReasoner, AbductiveReasoner, DatalogReasoner, SPARQLReasoner, ReteEngine.…

원문 언어: 영어

temporal

Temporal graph operations on Semantica — scoped queries at a point in time, graph snapshots, node change timelines, temporal causal analysis, and graph state reconstruction. Uses AgentContext.find_precedents(as_of=), ContextGraph.state_at(),…

원문 언어: 영어

validate

Validate Semantica pipelines, extraction quality, graph schemas, and ontology consistency. Returns structured error/warning checklists. Uses PipelineValidator, PipelineBuilder.validate_pipeline(), GraphValidator, and OntologyValidator. Sub-commands: pipeline,…

원문 언어: 영어

visualize

Visualize the Semantica knowledge graph — topology, centrality, communities, paths, embeddings, decision insights, and temporal evolution. Uses GraphAnalyzer, CentralityCalculator, CommunityDetector, PathFinder, and ContextGraph analytics. Sub-commands:…

원문 언어: 영어