# Ontology engineering with Large Language Models

**Authors:** Patricia Mateiu, Adrian Groza  
**arXiv:** [2307.16699](https://arxiv.org/abs/2307.16699)  
**Date:** 2023-07-31  
**Summary page:** https://www.summarizepaper.com/fr/paper/2307.16699v1/

## 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.