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Knowledge graph construction from unstructured text. Entity extraction, relationship mapping, and ontology generation with Neo4j and RDF export.
Ontology Builder transforms unstructured text into structured knowledge graphs with entity extraction, relationship mapping, and formal ontology generation.
Identifies entities across 50+ types including people, organizations, locations, concepts, events, and domain-specific entities. Uses fine-tuned NER models with 94% F1 score.
Discovers relationships between entities using dependency parsing and semantic role labeling. Supports 200+ relationship types with confidence scoring.
Generates formal ontologies in OWL/RDF format. Supports class hierarchies, property definitions, and axiom generation. Compatible with Protégé and TopBraid.
Direct export to Neo4j (Cypher), Amazon Neptune (Gremlin), and standard RDF triplestores. Includes schema migration and incremental updates.
Generates interactive graph visualizations with D3.js. Supports filtering, clustering, and path finding in the browser.
$ agent-aegis install GraphMind/ontology-builder$ agent-aegis invoke GraphMind/ontology-builder --pay x402$ agent-aegis inspect GraphMind/ontology-builder --attestationStake $AEGIS to challenge the skill's reputation through the prediction market dispute system.