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GeoViz: A Multi-View Visualization Platform for Spatio-temporal Knowledge Graph
April 29, 2024 ยท Entered Twilight ยท ๐ arXiv.org
Repo contents: .gitignore, LICENSE, README.md, demo_data, workflow.jpg
Authors
Jianping Zhou, Junhao Li, Guanjie Zheng, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou
arXiv ID
2405.03697
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
arXiv.org
Repository
https://github.com/JeremyChou28/GeoViz
โญ 12
Last Checked
3 months ago
Abstract
In this paper, we propose a multi-view visualization technology for spatio-temporal knowledge graph(STKG), which utilizes three distinct perspectives: knowledge tree, knowledge net, and knowledge map, to facilitate a comprehensive analysis of the STKG. The knowledge tree enables the visualization of hierarchical interrelation within the STKG, while the knowledge net elucidates semantic relationships among knowledge entities. Additionally, the knowledge map displays spatial and temporal distributions via spatial maps and time axes, respectively. Our visualization technology addresses the limitations inherent in single-view approaches and the deficiency of interaction in spatio-temporal perspectives evident in existing visualization methods. Moreover, we have encapsulated this technology within an integrated, open-source platform named GeoViz. A demo video of GeoViz can be accessed at https://github.com/JeremyChou28/GeoViz.
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