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Updated: Sep 18, 2025

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使用大型语言模型进行本体学丰富:应用词汇,语义和知识网络的相似性,用于概念的放置

Navya Martin Kollapally1, James Geller2, Vipina Kuttichi Keloth3

  • 1Kean University, United States.

Journal of biomedical informatics
|June 21, 2025
PubMed
概括

这项研究开发了一个自动化的管道来丰富本体学,特别是健康本体学的社会决定因素 (SDoH),使用大型语言模型 (LLM) 和PubMed. 基于LLM的方法成功地识别了比现有数据库更相关的概念,增强了本体学.

关键词:
大型语言模型.丰富本体学的丰富天体学评估评估的存在学.这是一个SemMedDB数据库.语义上的 MEDLINE 线.语义 MEDLINE 数据库是一个数据库.寻找相似性的搜索健康的社会决定因素

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