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September 10, 2025ElectronicsOpen Access

Methodological Exploration of Ontology Generation with a Dedicated Large Language Model

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Methodology develops a user preference ontology for adaptive interfaces, highlighting the role of domain expertise.

The methodology improved ontology generation in various domains by integrating large language models with classical engineering steps.
A user preference ontology for adaptive interfaces was specifically developed in the automotive sector using ChatGPT-4o.
Human experts refined definitions and validated outputs throughout the process, ensuring conceptual rigor.
Validation through SPARQL queries confirmed the ontology's logical consistency and reasoning capabilities.

Cappelli et al. (2025) studied this question.

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