AI RESEARCH
Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach
arXiv CS.AI
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ArXi:2604.23090v1 Announce Type: new Automatically generating formal ontologies from unstructured natural language remains a central challenge in knowledge engineering. While large language models (LLMs) show promise, it remains unclear which architectural design choices drive generation quality and why current approaches fail. We present a controlled experimental study using domain-specific insurance contracts to investigate these questions.