Specific Domain Ontology Construction Using Large Language Models

• URL: http://arxiv.org/abs/2606.20691v1
• Date: Sun, 14 Jun 2026 23:19:00 GMT
• Title: Specific Domain Ontology Construction Using Large Language Models
• Abstract summary: Ontologies are useful structures to organize and maintain information that can be understood both by humans and by systems.<n>The outstanding ability for understanding natural language demonstrated by the Large Models Language (LLMs) has motivated their application to aid on a variety of fields.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Ontologies are useful structures to organize and maintain information that can be understood both by humans and systems. However, since their manual crafting is a laborious task, many specific domains lack reference ontologies. The outstanding ability for understanding natural language demonstrated by the Large Language Models (LLMs) has motivated their application to aid on a variety of fields, including on ontology development. This work presents the experimentation with a technique that uses LLMs in the role of domain experts to build conceptual hierarchies for a given initial concept. Twenty ontologies automatically constructed for the domain of the Brazilian maritime territory (a.k.a the Blue Amazon) using GPT-3.5 and GPT-4 were then evaluated by human experts. The models were able to construct overall coherent conceptualizations of the domain, but none of the outputs was completely satisfactory as a representation of the context without refinement.

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