Paper proposes a multi-agent LLM architecture for automated ontology generation from unstructured text, decomposing the task into four roles: Domain Expert, Manager, Coder, Quality Assurer. Evaluated on insurance contracts, the approach significantly improves structural quality and modestly enhances queryability compared to single-agent baselines, with gains driven by front-loaded planning.
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Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach
Multi-agent LLM decomposition into four specialized roles (Domain Expert, Manager, Coder, Quality Assurer) improves automated ontology extraction from unstructured text like insurance contracts by leveraging collaborative planning.
Tuesday, April 28, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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