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Automating OntoClean - Subsumption Hierarchy Construction

delete2026-01-01
delete0
PRE
AI
S
Shathika Kularatne *
W
Wolfgang Mayer
M
Markus Stumptner
DOI：10.1007/978-981-96-8889-0_25delete
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摘要

摘要

En 中文
本研究介绍了一个自动化框架，用于构建符合OntoClean原则的包含层次结构，利用大型语言模型（LLMs），特别是GPT-4。该框架利用LLMs进行概念分组、中间层生成和验证。具体而言，该框架专注于构建与OntoClean原则在结构和语义上保持一致的层次结构。以FoodOn本体作为基准，评估显示归一化图编辑距离得分为0.8，边集的Jaccard指数为0.76，表明生成图与真实图之间具有高度的结构相似性。该框架的自动化特性相比手动或半自动化方法提供了显著的效率提升。
Keyword:
LLM
OntoClean
Ontology Engineering

期刊

A
ADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE. THEORY AND APPLICATIONS, IEA/AIE 2025, PT I
IF:
0
论文数:
41
被引数:
0

机构

A
adelaide university
学者数:
4.4K
论文数: 1.9K
被引数: 1
引用论文

引用论文

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