知识图谱技术在中医药研究中的应用OACSTPCD

Knowledge graph technology has unique advantages in exploring the relationships between entities from the perspective of relationships.The high complexity and strong inherent correlation of traditional Chinese medicine(TCM)knowledge make it more suitable for application as a favorable tool in TCM research and exploring the relationships between complex objects.The research on TCM knowledge graph has made significant progress in pattern layer construction,entity naming,and recognition.Technologies such as deep learning,Python programming,link prediction,and pre-trained models have been introduced into the knowledge graph,further improving the reliability and construction efficiency of the knowledge graph.This article reviews the development process of TCM knowledge graph technology in recent years,and provides a literature review from the concepts,construction methods,applications in the field of TCM,and shortcomings,so as to promote the development and application of knowledge graph in the field of TCM.