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Hans-Jörg Schulz

A Characterization of Data Exchange between Visual Analytics Tools

Research output: Contribution to conferencePaperResearchpeer-review

Standard

A Characterization of Data Exchange between Visual Analytics Tools. / Nonnemann, Lars; Schumann, Heidrun; Urban, Bodo; Aehnelt, Mario; Schulz, Hans-Jörg.

2020. 340-349 Paper presented at International Conference Information Visualisation, Vienna, Austria.

Research output: Contribution to conferencePaperResearchpeer-review

Harvard

Nonnemann, L, Schumann, H, Urban, B, Aehnelt, M & Schulz, H-J 2020, 'A Characterization of Data Exchange between Visual Analytics Tools', Paper presented at International Conference Information Visualisation, Vienna, Austria, 07/09/2020 - 11/09/2020 pp. 340-349.

APA

Nonnemann, L., Schumann, H., Urban, B., Aehnelt, M., & Schulz, H-J. (Accepted/In press). A Characterization of Data Exchange between Visual Analytics Tools. 340-349. Paper presented at International Conference Information Visualisation, Vienna, Austria.

CBE

Nonnemann L, Schumann H, Urban B, Aehnelt M, Schulz H-J. 2020. A Characterization of Data Exchange between Visual Analytics Tools. Paper presented at International Conference Information Visualisation, Vienna, Austria.

MLA

Nonnemann, Lars et al. A Characterization of Data Exchange between Visual Analytics Tools. International Conference Information Visualisation, 07 Sep 2020, Vienna, Austria, Paper, 2020.

Vancouver

Nonnemann L, Schumann H, Urban B, Aehnelt M, Schulz H-J. A Characterization of Data Exchange between Visual Analytics Tools. 2020. Paper presented at International Conference Information Visualisation, Vienna, Austria.

Author

Nonnemann, Lars ; Schumann, Heidrun ; Urban, Bodo ; Aehnelt, Mario ; Schulz, Hans-Jörg. / A Characterization of Data Exchange between Visual Analytics Tools. Paper presented at International Conference Information Visualisation, Vienna, Austria.

Bibtex

@conference{0815b285ca394ae0b55128742032cb0a,
title = "A Characterization of Data Exchange between Visual Analytics Tools",
abstract = "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{\textquoteright}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.",
author = "Lars Nonnemann and Heidrun Schumann and Bodo Urban and Mario Aehnelt and Hans-J{\"o}rg Schulz",
year = "2020",
language = "English",
pages = "340--349",
note = "International Conference Information Visualisation, IV'20 ; Conference date: 07-09-2020 Through 11-09-2020",
url = "http://iv.csites.fct.unl.pt/at/",

}

RIS

TY - CONF

T1 - A Characterization of Data Exchange between Visual Analytics Tools

AU - Nonnemann, Lars

AU - Schumann, Heidrun

AU - Urban, Bodo

AU - Aehnelt, Mario

AU - Schulz, Hans-Jörg

N1 - Conference code: 24

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

M3 - Paper

SP - 340

EP - 349

T2 - International Conference Information Visualisation

Y2 - 7 September 2020 through 11 September 2020

ER -