Semantica
Official@semantica-agi
Semantic Infrastructure for context, decision systems, and AI
Agent Skills by Semantica
Showing 18 vetted skills indexed across 1 GitHub repositories.
semantica-agitemporal
Apply as_of constraints to temporal graph queries, snapshots, and causal traces.
semantica-agivalidate
Validate Semantica pipelines, graph schemas, and ontology consistency.
semantica-agichange
Compute diffs between Semantica knowledge graph snapshots and retrieve node histories.
semantica-agiexplain
Generate human-readable explanations for Semantica decisions and graph reasoning.
semantica-agiembed
Compute Node2Vec embeddings and analyze similarity on Semantica knowledge graphs.
semantica-agicausal
Analyze causal chains and intervention impacts within the Semantica knowledge graph.
semantica-agiingest
Ingest data from files, databases, APIs, or streams into Semantica knowledge graphs.
semantica-agivisualize
Visualize Semantica knowledge graph topology, centrality, communities, paths, and temporal evolution.
semantica-agiontology
Describe and validate ontology concepts and schemas in Semantica knowledge graphs.
semantica-agiprovenance
Trace provenance metadata and audit trails within Semantica graphs.
semantica-agidecision
Record, trace, and audit decisions within Semantica context graphs.
semantica-agiextract
Run NER, relation, event, coreference, and triplet extraction on text or files.
semantica-agideduplicate
Detect and merge duplicate entities, groups, and relationships in Semantica knowledge graphs.
semantica-agiexport
Export knowledge graph data and provenance to JSON, RDF, Parquet, CSV, and GraphML.
semantica-agiquery
Query the Semantica knowledge graph using SPARQL, Cypher, and keyword search.
semantica-agipolicy
Evaluate policy rules and permissions on Semantica knowledge graphs.
semantica-agireason
Perform deductive, abductive, Datalog, SPARQL, and Rete reasoning over knowledge graphs.
semantica-agisemantica
Construct auditable knowledge graphs with provenance and reasoning paths.
Frequently Asked Questions About Semantica
FAQPage SchemaWhat specific tasks can be performed using Semantica?▼
Semantica enables entity extraction, knowledge graph construction, and complex reasoning using Datalog, SPARQL, and Cypher. Users can perform causal chain analysis, compute Node2Vec embeddings, validate ontology schemas, and export graph data into formats including RDF, Parquet, and GraphML for downstream integration.
Which engineering personas benefit from Semantica?▼
Data architects, knowledge engineers, and compliance officers benefit from Semantica. It is designed for professionals managing complex, interconnected datasets who require rigorous provenance, decision auditing, and the ability to perform temporal graph queries or causal impact assessments within their information architecture.
What are the prerequisites for deploying Semantica?▼
Deployment requires an existing data environment capable of supporting graph-based structures. Users must define their ontology schemas and ensure data sources are prepared for ingestion via file, database, or stream interfaces before applying Semantica's validation, reasoning, and temporal query capabilities.