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Hans-Jörg Schulz

A Layered Approach to Lightweight Toolchaining in Visual Analytics

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  • Hans-Jörg Schulz
  • Martin Röhlig, Institute of Visual and Analytic Computing, University of Rostock, Germany
  • Lars Nonnemann, Institute of Visual and Analytic Computing, University of Rostock, Germany
  • Marius Hogräfer
  • Mario Aehnelt, Fraunhofer IGD, Rostock, Germany
  • Bodo Urban, Institute of Visual and Analytic Computing, University of Rostock, Germany
  • Heidrun Schumann, Institute of Visual and Analytic Computing, University of Rostock, Germany
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.
Original languageEnglish
Title of host publicationComputer Vision, Imaging and Computer Graphics Theory and Applications : VISIGRAPP 2019
EditorsAna Paula Cláudio, Kadi Bouatouch, Manuela Chessa, Alexis Paljic, Andreas Kerren, Christophe Hurter, Alain Tremeau, Giovanni Maria Farinella
Number of pages25
Place of publicationCham
PublisherSpringer
Pages313-337
Chapter13
ISBN (print)9783030415891
ISBN (Electronic)9783030415907
DOIs
Publication statusE-pub ahead of print - 2020
Event14th International Joint Conference, VISIGRAPP 2019 - Prag, Czech Republic
Duration: 25 Feb 201927 Feb 2019
Conference number: 14

Conference

Conference14th International Joint Conference, VISIGRAPP 2019
Nummer14
LandCzech Republic
ByPrag
Periode25/02/201927/02/2019
SeriesCommunications in Computer and Information Science
Volume1182
ISSN1865-0929

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