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王勇超, 罗胜文, 杨英宝, 张宏鑫. 知识图谱可视化综述[J]. 计算机辅助设计与图形学学报, 2019, 31(10): 1666-1676. DOI: 10.3724/SP.J.1089.2019.18012
引用本文: 王勇超, 罗胜文, 杨英宝, 张宏鑫. 知识图谱可视化综述[J]. 计算机辅助设计与图形学学报, 2019, 31(10): 1666-1676. DOI: 10.3724/SP.J.1089.2019.18012
Wang Yongchao, Luo Shengwen, Yang Yingbao, Zhang Hongxin. A Survey on Knowledge Graph Visualization[J]. Journal of Computer-Aided Design & Computer Graphics, 2019, 31(10): 1666-1676. DOI: 10.3724/SP.J.1089.2019.18012
Citation: Wang Yongchao, Luo Shengwen, Yang Yingbao, Zhang Hongxin. A Survey on Knowledge Graph Visualization[J]. Journal of Computer-Aided Design & Computer Graphics, 2019, 31(10): 1666-1676. DOI: 10.3724/SP.J.1089.2019.18012

知识图谱可视化综述

A Survey on Knowledge Graph Visualization

  • 摘要: 知识图谱是结构化的语义网络知识库,以符号形式描述概念及其相互关系.由于知识图谱常被用于交互的知识的发现与推理,知识图谱可视化受到众多关注.总结了知识图谱可视化相关工作,介绍了知识图谱的可视表达,分析了可视表达适用的知识图谱类型;简述了大规模知识图谱可视化的挑战与可视化方法、异质网络可视分析方法;介绍了知识图谱可视化的应用案例,并预测了该领域的未来发展方向和挑战.

     

    Abstract: Knowledge graph denotes a structured semantic network knowledge base, which describes concepts and their relationship in symbolic form. Because knowledge graph is normally used in interactive discovery and reasoning of knowledge, visualization of knowledge graph has attracted much attention. This paper surveys the visual representation, categorization and techniques of knowledge graph visualization, as well as its applications, challenges and future trend.

     

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