A Characterization of Data Exchange between Visual Analytics Tools

Research output: Contribution to conferencePaperResearchpeer-review

  • Lars Nonnemann, Fraunhofer IGD, Rostock, Germany
  • Heidrun Schumann, University of Rostock, Germany
  • Bodo Urban, University of Rostock, Germany
  • Mario Aehnelt, Fraunhofer IGD, Rostock, Germany
  • Hans-Jörg Schulz
Over the past years, the visualization of large and complex data sets brought up various Visual Analytics (VA) tools in order to solve domain-specific tasks. These VA tools are typically implemented as individual software components in data-flow-oriented models, meaning that data is transferred from one component to the next. While most VA frameworks rely on a monolithic architecture with features for the integration of specialized analysis methods, we consider a loose coupling of independent applications, where autonomous VA tools are used in predefined analysis sequences. To this end, we provide a characterization of the data exchange process among individual VA tools in the form of a taxonomy. This taxonomy can be used as a checklist to identify characteristics and improve the data flow of one’s own multi-tool VA setup. For this purpose, we conducted a systematic investigation of the individual aspects of data exchange that are commonly found across different usage scenarios. We apply our taxonomy to three existing multi-tool frameworks, the open-source library ReVize, the toolchain editor AnyProc, and the visualization and monitoring framework Plant@Hand3D.
Original languageEnglish
Publication year2020
Publication statusAccepted/In press - 2020
EventInternational Conference Information Visualisation - Vienna, Austria
Duration: 7 Sep 202011 Sep 2020
Conference number: 24


ConferenceInternational Conference Information Visualisation
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