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Ontology Based Method for Supporting Business Process Modeling Decisions

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2012 Workshops (OTM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7567))

Abstract

This work suggests a method for machine-assisted support of business process modeling decisions, based on business logic that is extracted from process repositories using a linguistic analysis of the relationships between constructs of process descriptors. The analysis enables the setup of a descriptor space, in which it is possible to analyze business rules and logic. The suggested method aims to assist process designers in modeling decision making, based on knowledge that is encapsulated within existing business process repositories. The method is demonstrated using a real-life process repository from the higher-education industry.

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References

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Author information

Authors and Affiliations

  1. University of Haifa, Israel

    Avi Wasser

  2. ProcessGene Ltd, USA

    Maya Lincoln

Authors
  1. Avi Wasser
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  2. Maya Lincoln
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Editor information

Editors and Affiliations

  1. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660, Madrid, Spain

    Pilar Herrero

  2. Research Centre for Automatic Control, School of Engineering in Information Technology, University of Lorraine, CNRS, Campus scientifique, BP 70239, 54506, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. Department of Computer Science, Semantic Technology and Application Research Laboratory (STARLab), Vrije Universiteit Brussel, Building G-10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  4. La Trobe University, Melbourne, VIC, Australia

    Tharam Dillon

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© 2012 Springer-Verlag Berlin Heidelberg

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Wasser, A., Lincoln, M. (2012). Ontology Based Method for Supporting Business Process Modeling Decisions. In: Herrero, P., Panetto, H., Meersman, R., Dillon, T. (eds) On the Move to Meaningful Internet Systems: OTM 2012 Workshops. OTM 2012. Lecture Notes in Computer Science, vol 7567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33618-8_67

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  • DOI: https://doi.org/10.1007/978-3-642-33618-8_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33617-1

  • Online ISBN: 978-3-642-33618-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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