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International Conference on Case-Based Reasoning

ICCBR 2019: Case-Based Reasoning Research and Development pp 388–403Cite as

Adaptation of Scientific Workflows by Means of Process-Oriented Case-Based Reasoning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11680))

Abstract

This paper investigates automatic adaptation of scientific workflows in process-oriented case-based reasoning with the goal of providing modeling assistance. With regard to our previous work on the adaptation of business workflows, we discuss the differences between the workflow types and the implications for transferring the approaches to scientific workflows. An experimental evaluation with RapidMiner workflows demonstrates that the approaches can significantly improve workflows towards a given query while mostly maintaining their executability and semantic correctness.

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Notes

  1. 1.

    Lukas Malburg formally described the approaches in his master thesis “Adaptation of Scientific Workflows by Means of POCBR” submitted 2019 at Trier University.

  2. 2.

    See http://procake.uni-trier.de.

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Acknowledgments

This work is partly funded by the German Federal Ministry of Education and Research (BMBF, No. 01UG1606) and the German Research Foundation (DFG, No. BE 1373/3-3).

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Authors and Affiliations

  1. Business Information Systems II, University of Trier, 54286, Trier, Germany

    Christian Zeyen, Lukas Malburg & Ralph Bergmann

Authors
  1. Christian Zeyen
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  2. Lukas Malburg
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  3. Ralph Bergmann
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Corresponding authors

Correspondence to Christian Zeyen , Lukas Malburg or Ralph Bergmann .

Editor information

Editors and Affiliations

  1. Norwegian University of Science and Technology, Trondheim, Norway

    Kerstin Bach

  2. Ohio University, Athens, OH, USA

    Cindy Marling

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Zeyen, C., Malburg, L., Bergmann, R. (2019). Adaptation of Scientific Workflows by Means of Process-Oriented Case-Based Reasoning. In: Bach, K., Marling, C. (eds) Case-Based Reasoning Research and Development. ICCBR 2019. Lecture Notes in Computer Science(), vol 11680. Springer, Cham. https://doi.org/10.1007/978-3-030-29249-2_26

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  • DOI: https://doi.org/10.1007/978-3-030-29249-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29248-5

  • Online ISBN: 978-3-030-29249-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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