首屆大模型知識圖譜學習挑戰賽，探索LLM如何提升語義網智能
LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
- 設立挑戰賽促進大模型在知識圖譜構建中的應用
- 聚焦語義網結構化知識生成，助力互操作性提升
- 適合關注AI與知識圖譜融合的研究者和開發者
本文介紹了首次舉辦的「大語言模型用於知識圖譜學習挑戰賽」（LLMs4OL 2024），該活動由社區主導，與第23屆國際語義網會議（ISWC）同期舉行。其目標是探討大語言模型（LLMs）在知識圖譜學習（OL）中的潛力，這是一項提升網絡結構化知識、增強互操作性的關鍵技術。通過本挑戰賽，期望推動對知識圖譜學習的理解與創新，契合語義網願景——打造更智能、更易用的網絡。本文概述了2024年挑戰賽的整體框架並總結參賽貢獻。
原文摘要 · Abstract (English)
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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