Design And Implementation Of Visual Analysis System For Knowledge Graph

With the development of the Internet and the arrival of the era of big data,domain knowledge is being paid more and more attention in circles of academic and industry,and the demand for analyzing valuable information from domain knowledge has become more and more common.As data volumes become larger and larger,methods of traditional data storage and presentation are increasingly difficult to meet the analytical needs of related fields.Based on this appeal and problem,this paper designs and implements the visual analysis system for knowledge graph,which can provide users with a convenient and intuitive solution to analyze domain knowledge in the form of visualization.This paper conducts sufficient analysis on the data analysis and visual interaction requirements of knowledge graph,using the graph database HugeGraph which supports distributed storage to store domain knowledge in the form of knowledge graph,applying Spring Boot to build a server-side framework,and combining Vue framework with vis.js to visualize graph of relational network,finally designs and implements the visual analysis system for knowledge graph.The system's functions are divided into five modules: the module of data management is used for the management of ontology data and instance data;the module of the data exploration is used for multi-dimensional exploration of entity data and relationship data;the module of network analysis is used for visual interaction analysis of the relationship in the relational network;the module of graph data calculation is used to analyze and calculate the corresponding indicators according to several series of algorithm models for the graph data;the module of history and statistics is used for recording the change history of graph data and feature statistics for graph data.Globally,the system is flexibly and dynamically designed so that it can be applied to data sets of different domains,and the rich analytical calculation function is not sensitive to the requirements of the data set,aiming at realizing a general knowledge graph visual analysis system.Through system testing and online use,the system runs normally.The visual interactive analysis interface is intuitive and user-friendly.The global dynamic code design flexibly adapts to data sets of different domains.The rich analytical computing function is designed to meet the diverse analysis needs of users and help them to obtain valuable information.