Design and Research of Dynamic Knowledge Graph Construction and Visual Retrieval platform for the Medical Field

Health care is one of the hottest topics at present, the information about the medical field on the network is characterized by complexity and huge volume. People normally use the Internet search engine to obtain medical relevant information, Due to the large amount of retrieval results, it is difficult for information filtering. At present, knowledge graph develops rapidly in various fields with its advantages in understanding semantic relations. In this paper, it is applied to the medical field. Based on OpenKG community medical field data, an effective medical knowledge system is established, and then a dynamic knowledge graph for the medical field is created, and based on which a visual retrieval platform is constructed.