LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
It addresses the problem of improving ontology learning for the Semantic Web community, but it is incremental as it focuses on organizing a challenge rather than presenting new research results.
The paper introduces the LLMs4OL 2024 challenge, the first community initiative to explore how Large Language Models can be applied to Ontology Learning, aiming to enhance web interoperability and structure knowledge.
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.