LATIDIA · Investigación

Refinamiento de ontologías con incrustaciones y LLM: un estudio de caso sobre CASTON

arXiv:2610.21466v1 Tipo de anuncio: nuevo Resumen: Las ontologías se utilizan ampliamente para representar y organizar conocimientos complejos en dominios como la biomedicina y la atención médica. Sin embargo, la construcción de ontologías confiables sigue siendo chal

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arXiv:2610.21466v1 Announce Type: new Abstract: Ontologies are widely used to represent and organize complex knowledge in domains such as biomedicine and healthcare. However, constructing reliable ontologies remains challenging, as class hierarchies, whether manually or automatically constructed, may contain subtle subsumption errors that require careful refinement. We study this problem in CASTON, a casting-domain ontology, and present a lightweight but scalable refinement workflow that combines a fine-tuned ontology embedding model with Large Language Models (LLMs). The embedding model is used to extract a limited number of candidate axioms for refinement together with possible replacement candidates, and an LLM then returns repair suggestions. In a small expert evaluation, the default configuration using