As Knowledge Graphs (KG) are widely used in various industries, it is crucial to improve the readability of KG and increase its acceptance by the public. In order to let the public understand KG more comprehensively, we proposed a visual analysis method of KG and verified, evaluated, and applied the method. First, we extracted the visualization analysis dimensions of KG from its essential elements. Secondly, supported by the Beijing cultural KG data, we verify the data conversion algorithm of each analysis dimension. Finally, we evaluate the usability of this method through user experiments and verify the feasibility of this method by implementing a visual analysis application of KG. The results show that the method can effectively assist users in understanding KG from multiple angles.
CCKS 2021丨A Visual Analysis Method of Knowledge Graph Based on the Elements and Structure (Qiying He, Wenjun Hou, Yujing Wang)
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