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Visualization as Seen through its Research Paper Keywords.

Petra Isenberg, Tobias Isenberg, Michael Sedlmair

    IEEE Transactions on Visualization and Computer Graphics
    |November 23, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Analyzing IEEE Visualization (VIS) keywords from 1990-2015 reveals research trends and gaps. This study proposes improved terminology and a taxonomy to enhance communication and reviewer matching in the visualization community.

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    Area of Science:

    • Information Visualization
    • Scientific Visualization
    • Data Visualization

    Background:

    • Author-supplied keywords from IEEE Visualization (VIS) conference papers (1990-2015) were analyzed.
    • Current IEEE VIS taxonomy for paper categorization and reviewer assignment was examined.
    • The importance of common visualization terminology for research communication was highlighted.

    Purpose of the Study:

    • To identify key visualization research topics and trends from 1990-2015.
    • To evaluate the existing IEEE VIS taxonomy for completeness and emphasis.
    • To initiate a discussion on establishing standardized visualization terminology.

    Main Methods:

    • Comprehensive multi-pass analysis of keywords from 3952 IEEE VIS papers.
    • Comparison of derived visualization topics with the current IEEE VIS taxonomy.
    • Development of an online query tool (keyvis.org) for keyword exploration.

    Main Results:

    • A set of visualization topics was derived from author keywords.
    • Gaps and overemphasized areas in the current IEEE VIS taxonomy were identified.
    • An online tool was created to browse historical IEEE VIS keywords.

    Conclusions:

    • The analysis provides a foundation for a common visualization vocabulary.
    • Findings can improve communication, understanding of sub-fields, and trend identification.
    • The study facilitates reviewer assignment and can inform a comprehensive visualization taxonomy.