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  4. A Layered Approach to Lightweight Toolchaining in Visual Analytics
 
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2020
  • Konferenzbeitrag

Titel

A Layered Approach to Lightweight Toolchaining in Visual Analytics

Abstract
The ongoing proliferation and differentiation of Visual Analytics to various application domains and usage scenarios has also resulted in a fragmentation of the software landscape for data analysis. Highly specialized tools are available that focus on one particular analysis task in one particular application domain. The interoperability of these tools, which are often research prototypes without support or proper documentation, is hardly ever considered outside of the toolset they were originally intended to work with. To nevertheless use and reuse them in other settings and together with other tools, so as to realize novel analysis procedures by using them in concert, we propose an approach for loosely coupling individual visual analytics tools together into toolchains. Our approach differs from existing such mechanisms by being lightweight in realizing a pairwise coupling between tools without a central broker, and by being layered into different aspects of such a coupling: the usage flow, the data flow, and the control flow. We present a model of this approach and showcase its usefulness with three different usage examples, each focusing on one of the layers.
Author(s)
Schulz, Hans-Jörg
Aarhus Univ.
Röhlig, Martin
Univ. of Rostock
Nonnemann, Lars
Univ. of Rostock
Hogräfer, Marius
Aarhus Univ.
Aehnelt, Mario
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Urban, Bodo
Univ. of Rostock
Schumann, Heidrun
Univ. of Rostock
Hauptwerk
Computer Vision, Imaging and Computer Graphics Theory and Applications. 14th International Joint Conference, VISIGRAPP 2019
Project(s)
UniVA
Funder
Deutsche Forschungsgemeinschaft DFG
Konferenz
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) 2019
Thumbnail Image
DOI
10.1007/978-3-030-41590-7_13
Language
Englisch
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IGD
IGD-R
Tags
  • Visual analytics

  • Lead Topic: Digitized...

  • Research Line: Human ...

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