A multi-agent LLM architecture with four artifact-driven roles produces ontologies from insurance contracts that have significantly better structural quality and modestly better queryability than a single-agent baseline, with gains driven by front-loaded planning.
Ontology-grounded automatic knowledge graph construction by LLM under Wikidata schema
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OntoKG builds a portable ontology-oriented schema for Wikidata via intrinsic-relational routing, yielding a 34M-node graph with 93.3% category coverage and enabling five independent downstream tasks.
A hybrid system augments LLMs with an automated external RDF/OWL ontology layer for long-term memory, SHACL/OWL validation, and improved multi-step reasoning on tasks like Tower of Hanoi.
citing papers explorer
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Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach
A multi-agent LLM architecture with four artifact-driven roles produces ontologies from insurance contracts that have significantly better structural quality and modestly better queryability than a single-agent baseline, with gains driven by front-loaded planning.
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OntoKG: Ontology-Oriented Knowledge Graph Construction with Intrinsic-Relational Routing
OntoKG builds a portable ontology-oriented schema for Wikidata via intrinsic-relational routing, yielding a 34M-node graph with 93.3% category coverage and enabling five independent downstream tasks.
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Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems
A hybrid system augments LLMs with an automated external RDF/OWL ontology layer for long-term memory, SHACL/OWL validation, and improved multi-step reasoning on tasks like Tower of Hanoi.