LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge

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.

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Publication Details

Journal
Open Conference Proceedings
Published
2024-10-02
DOI
https://doi.org/10.52825/ocp.v4i.2473
Citations
10
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
1.50

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article

LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge

Hamed Babaei Giglou, Jennifer D’Souza, Sören Auer
10 citations
Open Conference Proceedings
Semantic Web and Ontologies
1.50
article

LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge

Hamed Babaei Giglou, Jennifer D’Souza, Sören Auer
article en
10 citations

Abstract

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.

Open Conference ProceedingsVol. 4
Technische Informationsbibliothek (TIB) (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Semantic Web and Ontologies
1.50
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LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge — Hamed Babaei Giglou, Jennifer D’Souza, et al. · Open Conference Proceedings (2024) | TGRS Research Map | TGRS