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ARIS for Semantic Business Process Management

  • Conference paper
Business Process Management Workshops (BPM 2008)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 17))

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Abstract

The application of semantic technologies promises boosting business process management, because semantic integration of business and IT is achieved. To enable the vision of semantic business process management, business experts must be able to annotate business process models semantically. In this paper we show how we extended the professional business process modelling tool ARIS to allow annotating business functions in EPC models with WSMO goals. In addition, we adapted the tool’s EPC to BPEL transformation to preserve the semantic annotations and to enable semantic web service discovery during process execution.

We evaluated those extensions in an empirical case study, which was replicated 13 times by 17 participants from 8 different organisations. We received valuable feedback, which is interesting for researchers and practitioners trying to bring semantic technologies to end-users with no or limited background knowledge about semantics.

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Author information

Authors and Affiliations

  1. IDS Scheer AG, Altenkesseler Str. 17, 66115, Saarbrücken, Germany

    Sebastian Stein, Christian Stamber & Marwane El Kharbili

Authors
  1. Sebastian Stein
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  2. Christian Stamber
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  3. Marwane El Kharbili
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Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Via Golgi 40, 20133, Milano, Italy

    Danilo Ardagna

  2. Dipartimento di Informatica e Sistemistica, Università di Roma “La Sapienza”, Via Salaria 113,, 00198, Roma, Italy

    Massimo Mecella

  3. Department of Computing, Macquarie University, 2109, Sydney, NSW, Australia

    Jian Yang

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Stein, S., Stamber, C., El Kharbili, M. (2009). ARIS for Semantic Business Process Management. In: Ardagna, D., Mecella, M., Yang, J. (eds) Business Process Management Workshops. BPM 2008. Lecture Notes in Business Information Processing, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00328-8_50

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  • DOI: https://doi.org/10.1007/978-3-642-00328-8_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00327-1

  • Online ISBN: 978-3-642-00328-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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