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LIU Yu-hua, ZHAI Ru-yu, ZHANG Xiang, WANG Yi-gang, ZHOU Zhi-guang. A Survey on the Visual Analytics of Knowledge Graph[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(1): 23-36. DOI: 10.3724/SP.J.1089.2023.19470
Citation: LIU Yu-hua, ZHAI Ru-yu, ZHANG Xiang, WANG Yi-gang, ZHOU Zhi-guang. A Survey on the Visual Analytics of Knowledge Graph[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(1): 23-36. DOI: 10.3724/SP.J.1089.2023.19470

A Survey on the Visual Analytics of Knowledge Graph

  • 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.
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