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Proceedings Paper
Volume: 36 | Article ID: VDA-362
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RAIV: Researchable Archives for Interactive Visualizations
  DOI :  10.2352/EI.2024.36.1.VDA-362  Published OnlineJanuary 2024
Abstract
Abstract

Web visualization dashboards are popular. We propose a system called RAIV that can capture and archive web visualizations into self-contained objects. RAIV also uses a client-server architecture to host and manage archived objects as online galleries, which users can use a standard web browser to experience without needing to install any additional software. RAIV supports intelligent search as well. When a search target has been found, RAIV can show the interaction path required to reach that target. We demonstrate RAIV’s capability using a genomics web visualization system called KnowEnG from NCSA and publicly available census data visualizations from US Census.

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  Cite this article 

Hunter Price, John Duggan, Robert Sisneros, Tanner Hobson, James Hammer, James Osborne, Jian Huang, "RAIV: Researchable Archives for Interactive Visualizationsin Electronic Imaging,  2024,  pp 362-1 - 362-10,  https://doi.org/10.2352/EI.2024.36.1.VDA-362

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