Ontology engineering with Large Language Models

Patricia Mateiu; Adrian Groza

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arXiv · 2307.16699

Ontology engineering with Large Language Models

Patricia Mateiu·Adrian Groza

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Abstract

We tackle the task of enriching ontologies by automatically translating natural language sentences into Description Logic. Since Large Language Models (LLMs) are the best tools for translations, we fine-tuned a GPT-3 model to convert Natural Language sentences into OWL Functional Syntax. We employ objective and concise examples to fine-tune the model regarding: instances, class subsumption, domain and range of relations, object properties relationships, disjoint classes, complements, cardinality restrictions. The resulted axioms are used to enrich an ontology, in a human supervised manner. The developed tool is publicly provided as a Protge plugin.

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Patricia Mateiu, Adrian Groza. 2023-07-31. Ontology engineering with Large Language Models. https://arxiv.org/abs/2307.16699

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