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Hans-Jörg Schulz

A Layered Approach to Lightweight Toolchaining in Visual Analytics

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Standard

A Layered Approach to Lightweight Toolchaining in Visual Analytics. / Schulz, Hans-Jörg; Röhlig, Martin; Nonnemann, Lars; Hogräfer, Marius; Aehnelt, Mario; Urban, Bodo; Schumann, Heidrun.

Computer Vision, Imaging and Computer Graphics Theory and Applications : 14th International Joint Conference, VISIGRAPP 2019, Revised Selected Papers. ed. / Ana Paula Cláudio; Kadi Bouatouch; Manuela Chessa; Alexis Paljic; Andreas Kerren; Christophe Hurter; Alain Tremeau; Giovanni Maria Farinella. Cham : Springer, 2020. p. 313-337 (Communications in Computer and Information Science, Vol. 1182).

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Schulz, H-J, Röhlig, M, Nonnemann, L, Hogräfer, M, Aehnelt, M, Urban, B & Schumann, H 2020, A Layered Approach to Lightweight Toolchaining in Visual Analytics. in AP Cláudio, K Bouatouch, M Chessa, A Paljic, A Kerren, C Hurter, A Tremeau & GM Farinella (eds), Computer Vision, Imaging and Computer Graphics Theory and Applications : 14th International Joint Conference, VISIGRAPP 2019, Revised Selected Papers. Springer, Cham, Communications in Computer and Information Science, vol. 1182, pp. 313-337, 14th International Joint Conference, VISIGRAPP 2019, Prag, Czech Republic, 25/02/2019. https://doi.org/10.1007/978-3-030-41590-7_13

APA

Schulz, H-J., Röhlig, M., Nonnemann, L., Hogräfer, M., Aehnelt, M., Urban, B., & Schumann, H. (2020). A Layered Approach to Lightweight Toolchaining in Visual Analytics. In A. P. Cláudio, K. Bouatouch, M. Chessa, A. Paljic, A. Kerren, C. Hurter, A. Tremeau, & G. M. Farinella (Eds.), Computer Vision, Imaging and Computer Graphics Theory and Applications : 14th International Joint Conference, VISIGRAPP 2019, Revised Selected Papers (pp. 313-337). Springer. Communications in Computer and Information Science Vol. 1182 https://doi.org/10.1007/978-3-030-41590-7_13

CBE

Schulz H-J, Röhlig M, Nonnemann L, Hogräfer M, Aehnelt M, Urban B, Schumann H. 2020. A Layered Approach to Lightweight Toolchaining in Visual Analytics. Cláudio AP, Bouatouch K, Chessa M, Paljic A, Kerren A, Hurter C, Tremeau A, Farinella GM, editors. In Computer Vision, Imaging and Computer Graphics Theory and Applications : 14th International Joint Conference, VISIGRAPP 2019, Revised Selected Papers. Cham: Springer. pp. 313-337. (Communications in Computer and Information Science, Vol. 1182). https://doi.org/10.1007/978-3-030-41590-7_13

MLA

Schulz, Hans-Jörg et al. "A Layered Approach to Lightweight Toolchaining in Visual Analytics"., Cláudio, Ana Paula, Bouatouch, Kadi, Chessa, Manuela and Paljic, Alexis Kerren, Andreas Hurter, Christophe Tremeau, Alain Farinella, Giovanni Maria (editors). Computer Vision, Imaging and Computer Graphics Theory and Applications : 14th International Joint Conference, VISIGRAPP 2019, Revised Selected Papers. Chapter 13, Cham: Springer. (Communications in Computer and Information Science, Vol. 1182). 2020, 313-337. https://doi.org/10.1007/978-3-030-41590-7_13

Vancouver

Schulz H-J, Röhlig M, Nonnemann L, Hogräfer M, Aehnelt M, Urban B et al. A Layered Approach to Lightweight Toolchaining in Visual Analytics. In Cláudio AP, Bouatouch K, Chessa M, Paljic A, Kerren A, Hurter C, Tremeau A, Farinella GM, editors, Computer Vision, Imaging and Computer Graphics Theory and Applications : 14th International Joint Conference, VISIGRAPP 2019, Revised Selected Papers. Cham: Springer. 2020. p. 313-337. (Communications in Computer and Information Science, Vol. 1182). https://doi.org/10.1007/978-3-030-41590-7_13

Author

Schulz, Hans-Jörg ; Röhlig, Martin ; Nonnemann, Lars ; Hogräfer, Marius ; Aehnelt, Mario ; Urban, Bodo ; Schumann, Heidrun. / A Layered Approach to Lightweight Toolchaining in Visual Analytics. Computer Vision, Imaging and Computer Graphics Theory and Applications : 14th International Joint Conference, VISIGRAPP 2019, Revised Selected Papers. editor / Ana Paula Cláudio ; Kadi Bouatouch ; Manuela Chessa ; Alexis Paljic ; Andreas Kerren ; Christophe Hurter ; Alain Tremeau ; Giovanni Maria Farinella. Cham : Springer, 2020. pp. 313-337 (Communications in Computer and Information Science, Vol. 1182).

Bibtex

@inproceedings{bb44ae71cacf4ebba8a6e3b06ad88363,
title = "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.",
keywords = "Software integration, View coordination, Visual analytics",
author = "Hans-J{\"o}rg Schulz and Martin R{\"o}hlig and Lars Nonnemann and Marius Hogr{\"a}fer and Mario Aehnelt and Bodo Urban and Heidrun Schumann",
year = "2020",
doi = "10.1007/978-3-030-41590-7_13",
language = "English",
isbn = "9783030415891",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "313--337",
editor = "Cl{\'a}udio, {Ana Paula} and Kadi Bouatouch and Manuela Chessa and Alexis Paljic and Andreas Kerren and Christophe Hurter and Alain Tremeau and Farinella, {Giovanni Maria}",
booktitle = "Computer Vision, Imaging and Computer Graphics Theory and Applications",
note = "14th International Joint Conference, VISIGRAPP 2019 ; Conference date: 25-02-2019 Through 27-02-2019",

}

RIS

TY - GEN

T1 - A Layered Approach to Lightweight Toolchaining in Visual Analytics

AU - Schulz, Hans-Jörg

AU - Röhlig, Martin

AU - Nonnemann, Lars

AU - Hogräfer, Marius

AU - Aehnelt, Mario

AU - Urban, Bodo

AU - Schumann, Heidrun

N1 - Conference code: 14

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Software integration

KW - View coordination

KW - Visual analytics

U2 - 10.1007/978-3-030-41590-7_13

DO - 10.1007/978-3-030-41590-7_13

M3 - Article in proceedings

SN - 9783030415891

T3 - Communications in Computer and Information Science

SP - 313

EP - 337

BT - Computer Vision, Imaging and Computer Graphics Theory and Applications

A2 - Cláudio, Ana Paula

A2 - Bouatouch, Kadi

A2 - Chessa, Manuela

A2 - Paljic, Alexis

A2 - Kerren, Andreas

A2 - Hurter, Christophe

A2 - Tremeau, Alain

A2 - Farinella, Giovanni Maria

PB - Springer

CY - Cham

T2 - 14th International Joint Conference, VISIGRAPP 2019

Y2 - 25 February 2019 through 27 February 2019

ER -