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Querying and creating visualizations by analogy.

Carlos Scheidegger1, Huy Vo, David Koop

  • 1Scientific Computing and Imaging (SCI) Institute at the University of Utah, USA. cscheid@sci.utah.edu

IEEE Transactions on Visualization and Computer Graphics
|October 31, 2007
PubMed
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Building complex visualizations is slow. Provenance metadata from visualization pipelines can suggest similar content and guide changes, speeding up data exploration. This system uses query-by-example and analogies for scalable interactions.

Area of Science:

  • Computer Science
  • Information Visualization

Background:

  • Building visualizations is a significant bottleneck in data exploration.
  • Advances in multi-view visualizations and visual exploration have not fully addressed this challenge.

Purpose of the Study:

  • To address the bottleneck in visualization creation.
  • To leverage provenance metadata for semi-automated visualization construction and modification.

Main Methods:

  • Reusing provenance metadata from visualization pipelines.
  • Introducing query-by-example for ensembles of visualizations.
  • Utilizing analogies as first-class operations for scalable interactions.

Main Results:

  • Demonstrated that provenance metadata can suggest similar content in related visualizations.

Related Experiment Videos

  • Showcased guidance for semi-automated changes in visualization pipelines.
  • Implemented and described techniques within the VisTrails system.

    • Conclusions:

    • Provenance metadata offers a powerful mechanism to streamline visualization creation.
    • Query-by-example and analogies enhance scalability and user guidance in visual exploration.
    • The VisTrails system provides a practical implementation of these novel techniques.