摘要
本文梳理了知识图谱的发展现状和Neo4J数据库的功能特点;分析知识图谱的构建流程及Neo4J图形数据库构建知识图谱的方法。通过结合Neo4J图形数据库和关系型数据MySQL的各自功能特点,分析并设计面向行业领域的知识图谱管理系统,满足行业领域专家快速构建并分享知识图谱的应用需求。该系统能创建并管理知识图谱的实体、属性和关系信息,不仅可对实体内容信息进行关键词查询,也可以调用Neo4J数据库的查询命令对复杂关系或隐藏关系进行查询,对查询的结果通过Echarts图表进行可视化展示。
This paper sorts out the development status quo of knowledge graph and the functional characteristics of Neo4J database;The construction process of knowledge graph and the method of Neo4J graphic database in the implementation of knowledge graph are analyzed.By combining the respective functional characteristics of Neo4J graphic database and relational database,an industry-oriented knowledge graph management system is analyzed and designed to meet the application needs of industry experts to build and share quickly the knowledge graph.The system can create and manage the entity,attribute and relationship information of the knowledge graph.It can not only query the entity content information,but also call the query command of Neo4J database to query the complex relationship or hidden relationship.The query results are displayed visually through the Echarts library.
作者
唐勇
TANG Yong(Changzhou Institute of Textile and Garment,Changzhou 213164)
出处
《办公自动化》
2022年第12期59-61,55,共4页
Office Informatization
基金
常州纺织服装职业技术学院教师企业实践锻炼项目(2021-2022)
常州纺织服装职业技术学院青年骨干教师项目(项目编号:CFRC2019001)。
关键词
知识图谱
管理系统
系统分析
系统设计
knowledge graph
management system
system analysis
system design
