A Document Retrieval Method based on Knowledge Map

In view of the fact that the output of traditional document retrieval results is only a simple matching text presentation, and the retrieval results are static and independent, lack of interaction and association between information, and can not quickly carry out deeper query analysis according to a result and information point, this paper proposes a document retrieval method based on knowledge map. Through the deep learning model, the entity relationship is extracted to construct the knowledge map, so as to establish the relationship between documents, and then realize the network map search; The retrieval method based on knowledge map can actively present the knowledge information structure of documents to users, actively guide users to carry out retrieval interaction and result preview, and change the previous passive and tentative input search of users.