动态本体的知识图谱构建技术  

Knowledge Map Construction Based on Dynamic Ontology

作　　者：张婉晨 郭黎[1] 张毅[1] 王彩璇 白翔天 ZHANG Wanchen;GUO Li;ZHANG Yi;WANG Caixuan;BAI Xiangtian(Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]信息工程大学,河南郑州450001

出　　处：《信息工程大学学报》2024年第4期417-422,498,共7页Journal of Information Engineering University

基　　金：国家重点研发计划(2021YFB3900900);智慧地球重点实验室开放基金(KF2023ZD02-04)。

摘　　要：为提高知识图谱构建效率,提出一种基于动态本体构建知识图谱的方法,根据动态本体更新的优势增加图谱构建时的灵活性和兼容性。首先,通过同步定义动态本体法设计层次分明、本体子类相互独立的本体概念模型;其次,依据音形码和字符相似度结合的匹配算法在已有模型基础上,合并类似本体类、构建非类似本体类,生成新本体模型,并以此为上层逻辑映射结构化数据生成图谱数据内容;最后,采用本体更新算法将已有的芯片产业链本体模型更新为汽车产业链本体模型,以此验证算法可行性,并与实例数据结合存入Neo4j图数据库进行可视化展示,实现基于动态本体构建知识图谱的一体化流程。To improve the efficiency of knowledge map construction,a method of knowledge map building based on dynamic ontology is proposed to increase the flexibility and compatibility of map construction according to the advantages of the dynamic body update.Firstly,a hierarchical ontology conceptual model with mutually independent subclasses is designed through synchronously defined dynamic ontology method.Secondly,by the matching algorithm combining the sound code and character similarity,new ontology models are generated by merging similar ontology classes and building non-similar ontology class based on the existing model.The ontology model is used as the upper logic map structured data to generate diagram data content.Finally,the ontology update algorithm is used to update the existing chip industry chain model to the body model of the automotive industry chain,so as to verify the feasibility of the algorithm.Further,it is combined with instance data to be stored in the Neo4j diagram database for visual display.

关 键 词：动态本体 知识图谱 图谱构建 芯片产业链 汽车产业链 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]