知识图谱可视分析研究综述

A Survey on the Visual Analytics of Knowledge Graph

知识图谱是一种以图谱形式描述客观世界中存在的各种实体、概念及其关系的技术,广泛应用于智能搜索、自动问答和决策支持等领域.可视分析技术可以将抽象的知识图谱映射为图形元素,帮助用户直观地感知和分析数据,从而提高知识图谱的构建和表达,也为知识图谱在各个领域的应用提供了有力支持.文中对知识图谱可视分析相关工作进行调研和整理,从知识图谱可视化表现形式、知识图谱构建过程中常用的可视分析方法以及面向应用领域的知识图谱可视分析技术3个方面进行综述;进一步,总结和讨论知识图谱可视分析面临的挑战,并对其未来的发展趋势进行展望.

Knowledge graph is a technology that describes entities, concepts and their relationships, which has been widely used in the fields of intelligent search, automatic question answering and decision support.Visual analysis technique can transform the abstract knowledge graph into graphic elements, enabling users to intuitively perceive and analyze data. It can build and present the knowledge graph better, and provide a strong support for the application of knowledge graph. We give a survey on the visual analytics of knowledge graph from following three aspects: The visual representation of knowledge graph, the visual analysis methods in the construction of knowledge graph, and the visual analysis technology of knowledge graph in various fields. Moreover, the challenges and future work on the visual analytics of knowledge graph are discussed and concluded.