Ontology engineering with Large Language Models
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.
Full citation
"Ontology engineering with Large Language Models", Mateiu, Patricia and Groza, Adrian, 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC23), Nancy, France , , DOI: , 2023.