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Automatically Annotating Business Process Models with Ontology Concepts at Design-Time

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Advances in Conceptual Modeling (ER 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10651))

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Abstract

In business process modelling, it is known that using a consistent labelling style and vocabulary improves process model quality. In this regard, several existing approaches aim at the linguistic support for labelling model elements. At the same time, domain-specific ontologies have been proposed and used to capture important process-related knowledge. However, these two areas are largely disconnected up to now. Although some research suggests annotating ontology concepts to process models, for instance, to interpret and reason about a process model, annotation has not yet gained traction in practice since it still has to be done in a highly manual effort. We thus provide an automated, language-independent methodology for using labelling assistance functionalities to identify and annotate relevant ontology concepts to process model elements using a four-step procedural model.

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Author information

Authors and Affiliations

  1. European Research Center for Information Systems, University of Münster, Münster, Germany

    Dennis M. Riehle & Jörg Becker

  2. Institute for Information Management and Information Systems, University of Osnabrück, Osnabrück, Germany

    Sven Jannaber & Oliver Thomas

  3. Institute for Information Systems Research, University of Koblenz-Landau, Koblenz, Germany

    Patrick Delfmann

Authors
  1. Dennis M. Riehle
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  2. Sven Jannaber
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  3. Patrick Delfmann
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  4. Oliver Thomas
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  5. Jörg Becker
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Corresponding author

Correspondence to Dennis M. Riehle .

Editor information

Editors and Affiliations

  1. University of Westminster, London, United Kingdom

    Sergio de Cesare

  2. University of Duisburg-Essen, Essen, Germany

    Ulrich Frank

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Riehle, D.M., Jannaber, S., Delfmann, P., Thomas, O., Becker, J. (2017). Automatically Annotating Business Process Models with Ontology Concepts at Design-Time. In: de Cesare, S., Frank, U. (eds) Advances in Conceptual Modeling. ER 2017. Lecture Notes in Computer Science(), vol 10651. Springer, Cham. https://doi.org/10.1007/978-3-319-70625-2_17

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  • DOI: https://doi.org/10.1007/978-3-319-70625-2_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70624-5

  • Online ISBN: 978-3-319-70625-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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