数字图书馆论坛2024，Vol.20Issue(2)：24-33,10.DOI:10.3772/j.issn.1673-2286.2024.02.003
基于知识图谱的中医古方交互式检索研究
Interactive Retrieval of Traditional Chinese Medicine Prescriptions Based on Knowledge Graphs
摘要
Abstract
In this paper,we took traditional Chinese medicine prescriptions as the research object.The knowledge graph of traditional Chinese medicine prescriptions based on deep learning was constructed by using named entity recognition and relationship extraction,and the knowledge of traditional Chinese medicine prescriptions and the retrieval results were visualized by Neo4j graph database.On this basis,the human-computer interactive retrieval architecture was designed by combining the interactive retrieval technology to realize the knowledge retrieval,knowledge quiz,knowledge browsing,and knowledge reasoning of traditional Chinese medicine prescriptions.This paper used knowledge graph to reorganize the knowledge structure of traditional Chinese medicine prescriptions,and enhanced the knowledge association and retrieval efficiency by combining interactive retrieval,so as to provide data support and method reference for knowledge organization and knowledge service related to traditional Chinese medicine prescriptions.关键词
知识图谱/命名实体识别/交互式检索/中医古方Key words
Knowledge Graph/Named Entity Recognition/Interactive Retrieval/Traditional Chinese Medicine Prescription引用本文复制引用
叶丁菱,牟丽君,许鑫..基于知识图谱的中医古方交互式检索研究[J].数字图书馆论坛,2024,20(2):24-33,10.基金项目
本研究得到2021年度国家社会科学基金重大项目"文化遗产智慧数据资源建设与服务研究"(编号:21&ZD334)资助. （编号:21&ZD334）
