Research on Knowledge Graph Reasoning in Traditional Chinese Medicine
- VernacularTitle:中医药知识图谱推理研究
- Author:
Haiyu LIU
1
;
Xiaolong QU
;
Yikang SHEN
;
Zhuobin JIANG
;
Xiaoxia XIE
;
Yufeng ZHAO
;
Xiaoping ZHANG
Author Information
- Publication Type:Journal Article
- Keywords: Traditional Chinese medicine; Knowledge graph reasoning; Logic rules; Distributed representation; Neural network; Multimodal
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(3):601-611
- CountryChina
- Language:Chinese
- Abstract: With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.
