Book Retrieval Model Based On Concept Map

Nowadays,with the continuous development of network technology,many information resources such as books are gradually stored in the form of electronic everywhere,people also use electronic media to obtain information.In the face of massive book resources,when people search what they need,they often do not know how to quickly and effectively find their favorite books,and how to find other books related to them.Users in a subject book retrieval,if there is a concept map to assist,you can more clearly understand some branches of the subject and the concept knowledge points of the subject,for the retrieved books also have a more complete understanding,in order to find other related books,help users to further study.In the process of book retrieval,for some users who need to consider the problem of keyword selection,the presentation of concept map can also help them solve this problem.Based on this,this paper proposes to combine the concept map and information retrieval to build a book retrieval model,which takes the concept points of the book as the book retrieval words and presents them to the users in the form of the concept map,providing the users with the retrieval words of the retrieval book,at the same time allowing the users to participate in the production process of the concept map,enhancing the user experience.The research content of this paper mainly includes the following two aspects(1)Module construction of concept map: using Python to build the module,setting up the concept node upload interface and the concept map view section,which is convenient for users to upload the concept node and view the concept map.Using pyecahrts toolkit in Python to draw the concept map for the view section of the concept map.(2)Construction of book retrieval module: the vector space model is used to construct the book retrieval model.Using inverted index technology to build index,the retrieval model can quickly locate all the books containing the key words according to the key words.The TF IDF value of all the words in the book is calculated,and the weight value of the words is calculated for book retrieval.It can make users quickly retrieve the books containing their own knowledge points according to the search words,improve the efficiency of users to find books,and save the time of users to find the books.Through the test on real data sets,it is proved that the retrieval model proposed in this paper is effective and feasible.