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Cartograph: Unlocking Spatial Visualization Through Semantic Enhancement
Proceedings of the 22nd International Conference on Intelligent User Interfaces (2017)
  • Shilad W Sen
  • et. al.
Abstract
This paper introduces Cartograph, a visualization system that harnesses the vast amount of world knowledge encoded within Wikipedia to create thematic maps of almost any data. Cartograph extends previous systems that visualize non-spatial data using geographic approaches. While these systems required data with an existing semantic structure, Cartograph unlocks spatial visualization for a much larger variety of datasets by enhancing input datasets with semantic information extracted from Wikipedia. Cartograph's map embeddings use neural networks trained on Wikipedia article content and user navigation behavior. Using these embeddings, the system can reveal connections between points that are unrelated in the original data sets, but are related in meaning and therefore embedded close together on the map. We describe the design of the system and key challenges we encountered, and we present findings from an exploratory user study
Disciplines
Publication Date
March, 2017
DOI
10.1145/3025171.3025233
Citation Information
Shilad W Sen and et. al.. "Cartograph: Unlocking Spatial Visualization Through Semantic Enhancement" Proceedings of the 22nd International Conference on Intelligent User Interfaces (2017) p. 179 - 190
Available at: http://works.bepress.com/shilad_sen/22/