Scholarlink

Recent advances in Large Language Models (LLMsLarge Language Model (LLM)) and Generative AI have opened up transformative opportunities across many disciplines in science and engineering. For biomedical ontologies, there are multiple potential roles that LLMs can play to aid ontological engineering and ontological analysis; all of which are positioned to enhance the existing workflows and processes. This chapter presents initial LLM use cases in ontological analysis to demonstrate their potential values.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Large Language Models: Illustrative Use Cases for Ontological Analysis

  • 章节

  • 发表日期：

    2026年

查看全文
  • Guo-Qiang Zhang,
  • Rashmie Abeysinghe,
  • Licong Cui

摘要

Recent advances in Large Language Models (LLMsLarge Language Model (LLM)) and Generative AI have opened up transformative opportunities across many disciplines in science and engineering. For biomedical ontologies, there are multiple potential roles that LLMs can play to aid ontological engineering and ontological analysis; all of which are positioned to enhance the existing workflows and processes. This chapter presents initial LLM use cases in ontological analysis to demonstrate their potential values.