基于本体建模的动态知识图谱构建技术研究  

Research on construction technology of dynamic knowledge graph based on ontology modeling

作　　者：陈雅茜[1] 邢雪枫 CHEN Ya-xi;XING Xue-feng(School of Computer Science and Engineering,Southwest Minau University,Key Laboratory of Computer System of the State Eithnic Allairs Commission,Chengdu 610041,China)

机构地区：[1]西南民族大学计算机科学与工程学院,计算机系统国家民委重点实验室,四川成都610041

出　　处：《西南民族大学学报（自然科学版）》2021年第3期310-316,共7页Journal of Southwest Minzu University(Natural Science Edition)

基　　金：“四川省科技计划”(2019YFH0055);2021年中央高校优秀学生培养工程项目(2021NYYXS47)。

摘　　要：目前知识图谱领域构建的图谱多以静态知识图谱为主,数据集较大时,构建出的静态知识图谱的规模会非常大,且存在可读性差、交互性低等问题,非常不利于信息的动态浏览和筛选.为解决这一问题,应以增加知识图谱的动态交互性为目标来完成动态知识图谱的构建.将从知识图谱的体系架构、本体建模等方面进行系统探索,给出基于本体建模的动态知识图谱构建技术流程.最后从知识推理等方面对未来的研究方向进行了展望.At present, most of the maps constructed in the field of knowledge graphs are based on static knowledge graphs. When the data set is large, the scale of the constructed static knowledge graphs will be very large, and there will be problems such as poor readability and low interactivity, which are very unfavorable for information dynamic browsing and filtering. In order to solve this problem, the construction of the dynamic knowledge graph should be completed with the goal of increasing the dynamic interactivity of the knowledge graph. This paper systematically explores the architecture and ontology modeling of the knowledge graph, and gives the technical process of dynamic knowledge graph construction based on ontology modeling. Finally, the future research directions are prospected from knowledge reasoning and other aspects.

关 键 词：动态知识图谱 本体建模 Neo4j 信息可视化 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]