Design And Implementation Of Fragment Knowledge Management System Based On Knowledge Graph

In recent years,with the rapid development of the Internet,the popularity of the Internet has become higher and higher,the number of Internet users has increased unprecedentedly.The content generated by user communication analysis is also increasing.A large amount of fragmented information is the product of human behavior,thinking and interactive activities,but its huge amount has led to an increasingly serious flood of information,and a large amount of invalid information will distract people.,It has improved the difficulty for learners to master knowledge in depth and build personal knowledge system.The knowledge graph can describe knowledge resources graphically,and is very effective in organizing knowledge and displaying the characteristics of the relationship between knowledge structure.Based on the above requirements,this article will design and implement fragment knowledge management aystem based on knowledge graph,mainly to provide users with document content storage and interpretation functions.This article takes the user's import of documents as the starting point,uses natural language processing technology to intelligently analyze the fragment knowledge of the document,and automatically extract entities,events and indicators in the text.For the extracted document knowledge,not only will it provide extended analysis functions based on the knowledge graph while the user is reading the document,but it will also be stored in the personal knowledge base to build a personal knowledge system.The system is written in Java language,Spring technology is used as the system framework,and the database uses relational database My SQL and graph database Huge Graph.The system is divided into five functional modules: knowledge extraction module,entity analysis module,event analysis module,index analysis module and knowledge management module.Finally,combine front-end and server development technologies to complete related functions,improve platform implementation,and evaluate and improve the platform through black box testing.Through the combination of knowledge graph and natural language processing technology,this paper designs and implements a fully functional knowledge management platform,which provides a new idea for users to construct a knowledge system.