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A Case Modelling Language for Process Variant Management in Case-Based Reasoning

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Business Process Management Workshops (BPM 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 256))

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Abstract

Conventional business process management has been very successful for routine work but has deficiencies in dealing with the flexibility of knowledge workers’ work, since the tasks are hard to determine and highly dependent on the current situation. For knowledge workers it is useful to structure the processes just in part as process variants, which can be adapted, modified and even newly created at runtime by them. This paper describes an application of a case-based reasoning approach and introduces a process variant modelling language that supports the manual generation and refinement of generalized process variants. This approach is demonstrated in a public administration scenario.

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Author information

Authors and Affiliations

  1. School of Business, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland

    Knut Hinkelmann & Andreas Martin

  2. Computer Science Department, School of Science and Technology, University of Camerino, Camerino, Italy

    Riccardo Cognini

  3. School of Computing, University of South Africa, Florida Park, Roodepoort, Johannesburg, South Africa

    Andreas Martin

  4. Department of Informatics, University of Pretoria, Pretoria, South Africa

    Knut Hinkelmann

Authors
  1. Riccardo Cognini
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  2. Knut Hinkelmann
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  3. Andreas Martin
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Corresponding author

Correspondence to Andreas Martin .

Editor information

Editors and Affiliations

  1. Institute of Databases and Information Systems, University of Ulm, Ulm, Germany

    Manfred Reichert

  2. Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Hajo A. Reijers

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Cognini, R., Hinkelmann, K., Martin, A. (2016). A Case Modelling Language for Process Variant Management in Case-Based Reasoning. In: Reichert, M., Reijers, H. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 256. Springer, Cham. https://doi.org/10.1007/978-3-319-42887-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-42887-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42886-4

  • Online ISBN: 978-3-319-42887-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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