A Review of the Knowledge Discovery Methods Based on Knowledge Graph in the Biomedical Field
10.3969/j.issn.1673-6036.2024.01.008
- VernacularTitle:生物医学领域基于知识图谱的知识发现方法综述
- Author:
Jiayue MEI
1
;
Jia SUN
;
Yuefang HOU
Author Information
1. 中国医科大学健康管理学院 沈阳 110122
- Keywords:
biomedicine;
knowledge graph;
knowledge discovery
- From:
Journal of Medical Informatics
2024;45(1):45-51
- CountryChina
- Language:Chinese
-
Abstract:
Purpose/Significance To review the knowledge discovery methods based on knowledge graph in the biomedical field,and to provide references for researchers.Methods/Process The paper summarizes the knowledge discovery methods based on knowledge graph by systematically searching and analyzing the relevant literatures,and compares the advantages and disadvantages of various knowl-edge discovery methods.It points out that the limitations and challenges of knowledge discovery methods based on knowledge graph in the biomedical field,and puts forward suggestions and prospects.Result/Conclusion In the future research,it is suggested to improve the in-terpretability of knowledge discovery results,build an effective result evaluation framework,and establish a standardized knowledge dis-covery process with multi-domain experts'collaboration,so as to improve the quality and efficiency of knowledge discovery research.