知识图谱可视化查询技术综述

Survey on Visualization Query Technology of Knowledge Graph

知识图谱作为符号主义发展的产物,是人工智能技术和系统中的重要组成部分,其在百科知识、生物信息、社交网络以及网络安全等领域被广泛运用。知识图谱可视化查询是理解和分析知识图谱的重要技术,能够帮助普通用户有效地查询知识图谱。分类介绍知识图谱的数据模型和可视化技术,从数据规模的角度描述大规模知识图谱可视化的一般步骤。分析基于RDF图和属性图的可视化查询语言、基于关键字、过滤和模板的可视化查询系统,以及本体可视化查询方法,从可读性、可学习性、用户友好度等方面对现有知识图谱可视化查询技术进行对比总结,阐述可视化查询在领域知识图谱中的应用现状,并对知识图谱可视化查询的未来发展方向加以展望。

Knowledge graph,as the development product of symbolism,is considered to be an important part of artificial intelligence technologies and systems,and widely used in encyclopedia knowledge,biological information,social network,network security and so on.Visualization query of knowledge graph is an important technology for understanding and analyzing knowledge graph,which can help ordinary users effectively query knowledge graph.This paper introduces the data models of knowledge graph and visualization technologies by type,and describes the general steps of large-scale knowledge graph visualization from the perspective of data scale.Then this paper analyzes visualization query languages based on RDF graph and property graph,keyword-based,filter-based and template-based visualization query systems,and visualization query method of ontology.This paper compares and summarizes the existing visualization query technologies of knowledge graph in terms of readability,learnability and user-friendliness.Meanwhile,the application of visualization query in domain-specific knowledge graph is also described.Finally,the future research directions of visualization query of knowledge graph are put forward as well.