Design And Implementation Of Knowledge Graph Modeling Tool Mins KGraph

Knowledge graph data modeling can break the data isolation in different application scenarios and provide basic support for applications such as search,recommendation,problem,interpretation and decision-making.The functions of existing knowledge graph tool software are relatively one-sided.Most of them provide data analysis functions,and lack of independent knowledge graph modeling and data storage functions in their software implementation.In response to the above problems,in the two-year part-time engineering master's degree,this paper proposes for the first time to design and implement an online application service system based on knowledge graph modeling based on separate front-end and back-end development.This system architecture uses a browser and server framework.Its main functions include knowledge graph modeling,graph data storage,graph visualization,graph data search,and graph fusion.The function of knowledge graph modeling includes graph data model modeling and triple data modeling.The graph data model is composed of ontology collection,entity collection,relationship basis and attribute basis.In order to solve the problem that the content of nodes and relational attributes is not fixed,the graph data storage function module uses a combination of static attributes and dynamic attributes to store the attribute content in the Neo4 j graph database.Atlas visualization provides general data visualization capabilities and can be automated for layout.The graph data search function can perform node search,relation search,triple search and attribute search.The graph fusion function module explores and implements graph fusion for the first time,including graph information fusion,node fusion,and relationship fusion.Finally,the author performed functional integrity test,operation compatibility test,and system performance test on the application system.The tests show that this graph modeling system is relatively complete and runs well.There is still much room for improvement in the application functions of this system.In the future,it will provide better services,including faster and larger map data storage,large-scale map data visualization and intelligent map fusion functions.