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Using CMMN to Model Social Processes

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Business Process Management Workshops (BPM 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 308))

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Abstract

Adaptive Case Management is an alternative approach to support human-intensive processes. It may be served by Case Management Modeling Notation (CMMN) language for modeling purposes. In this paper, ACM concepts are adopted to support human-intensive processes executed in social environments, referred to as social processes. As a first step, the usage of CMMN language is explored to model them. Corresponding CMMN social processes models could be executable within a social network platform. For this purpose, ACM meta-model is extended to incorporate execution properties within a social environment. To demonstrate the potential of the proposed enhancement an example of a social process is used as a case study.

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Acknowledgement

This work is co-funded by the European Commission through the LIFE+ Funding program, LIFE14 ENV/GR/000858: LIFE REWEEE.

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Authors and Affiliations

  1. Harokopio University, Eleftheriou Venizelou 70, Athens, Greece

    Ioannis Routis, Mara Nikolaidou & Dimosthenis Anagnostopoulos

Authors
  1. Ioannis Routis
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  2. Mara Nikolaidou
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  3. Dimosthenis Anagnostopoulos
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Corresponding author

Correspondence to Ioannis Routis .

Editor information

Editors and Affiliations

  1. Department of Service and Information System Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain

    Ernest Teniente

  2. Humboldt-Universität zu Berlin, Berlin, Berlin, Germany

    Matthias Weidlich

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Routis, I., Nikolaidou, M., Anagnostopoulos, D. (2018). Using CMMN to Model Social Processes. In: Teniente, E., Weidlich, M. (eds) Business Process Management Workshops. BPM 2017. Lecture Notes in Business Information Processing, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-319-74030-0_25

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  • DOI: https://doi.org/10.1007/978-3-319-74030-0_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74029-4

  • Online ISBN: 978-3-319-74030-0

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