中国医学史是中医类院校必修课程,其知识体系繁杂,给教学带来一定挑战。现有中医药知识图谱研究未覆盖此门课程所涉及的系统性知识。本研究旨在借助现代信息技术实现《中国医学史》教材的知识结构化与可视化,助力中医药教育。通过大语言模型结合人工核验的方式自底向上构建图谱,并存储于Neo4j图数据库,最终成功构建含2 879个实体、2 487条语义关系的知识图谱。模型抽取三元组精确率达65.42%、召回率77.82%、F1值71.09%,人工核验与模型抽取结果具有较高的一致性。该图谱可提供教学可视化与关联检索支持,具备多元教育潜力,为医学人文教育智能化创新提供参考实例与框架。
History of Chinese medicine is a compulsory course in traditional Chinese medicine (TCM) universities and colleges. Its complex knowledge system poses certain challenges to teaching. Existing research on TCM knowledge graphs has not covered the systematic knowledge involved in this course. This study aims to leverage modern information technology to achieve knowledge structuring and visualization of the History of Chinese Medicine textbook, thereby supporting TCM education. By employing a large language model combined with manual verification, a bottom-up approach was adopted to construct the knowledge graph, which was then stored in the Neo4j graph database. A knowledge graph containing 2 879 entities and 2 487 semantic relationships was successfully built. The model achieved a triplet extraction precision of 65.42%, recall of 77.82%, and an F1 score of 71.09%, demonstrating high consistency between manual verification and model extraction results. This knowledge graph provides teaching visualization and associative retrieval support, possesses diverse educational potential, and offers a reference example and framework for intelligent innovation in medical humanistic education.
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