Interactive Retrieval of Traditional Chinese Medicine Prescriptions Based on Knowledge Graphs
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.
Knowledge GraphNamed Entity RecognitionInteractive RetrievalTraditional Chinese Medicine Prescription
国家科技期刊平台
NSTL
万方数据
