This paper outlines the LLMs4OL 2024, the first edition of the Large Language Models for Ontology Learning Challenge. LLMs4OL is a community development initiative collocated with the 23rd International Semantic Web Conference (ISWC) to explore the potential of Large Language Models (LLMs) in Ontology Learning (OL), a vital process for enhancing the web with structured knowledge to improve interoperability. By leveraging LLMs, the challenge aims to advance understanding and innovation in OL, aligning with the goals of the Semantic Web to create a more intelligent and user-friendly web. In this paper, we give an overview of the 2024 edition of the LLMs4OL challenge and summarize the contributions.
@article{arxiv.2409.10146,
title = {LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge},
author = {Hamed Babaei Giglou and Jennifer D'Souza and Sören Auer},
journal= {arXiv preprint arXiv:2409.10146},
year = {2024}
}
Comments
15 pages, 1 figure, Will appear in "The 1st LLMs4OL Challenge @ ISWC 2024" proceedings