GeoViz: A Multi-View Visualization Platform for Spatio-temporal Knowledge Graph

TL;DR

GeoViz is an open-source multi-view visualization platform that integrates hierarchical, semantic, and spatio-temporal perspectives to enhance analysis of spatio-temporal knowledge graphs, overcoming limitations of single-view and interaction-deficient methods.

Contribution

The paper introduces GeoViz, a novel multi-view visualization platform specifically designed for spatio-temporal knowledge graphs, combining three perspectives in an integrated open-source tool.

Findings

Addresses limitations of single-view visualization

Enhances analysis of spatio-temporal knowledge graphs

Provides an open-source platform for comprehensive visualization

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.