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Semantic Evaluation of Business Processes Using SeMFIS

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Book cover Domain-Specific Conceptual Modeling

Abstract

This chapter discusses the evaluation of business processes in terms of semantics. For this purpose, a method providing a set of semantic process evaluation patterns is described. In order to make these patterns operational, the SeMFIS platform for engineering semantic annotations of conceptual models is used as a foundation. SeMFIS not only features a software platform based on the ADOxx metamodeling platform but also an open framework for the development of semantic information systems. SeMFIS is thus able to support the semantic process evaluation patterns on a technical level. In particular, the querying and scripting functionality contained in SeMFIS as well as its semantic annotation facilities are used together with business process models in BPMN notation, which are part of the SeMFIS standard distribution. As a proof of concept, a case study from the area of risk management is described in order to illustrate the practical application of SeMFIS when working with the semantic process evaluation patterns.

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Author information

Authors and Affiliations

  1. University of Vienna, Vienna, Austria

    Hans-Georg Fill

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  1. Hans-Georg Fill
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Correspondence to Hans-Georg Fill .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Research Group Knowledge Engineering, University of Vienna, Wien, Austria

    Dimitris Karagiannis

  2. Institute of Applied Informatics, Alpen-Adria-Universität Klagenfurt Institute of Applied Informatics, Klagenfurt, Austria

    Heinrich C. Mayr

  3. University of Trento , Trento, Italy

    John Mylopoulos

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Fill, HG. (2016). Semantic Evaluation of Business Processes Using SeMFIS. In: Karagiannis, D., Mayr, H., Mylopoulos, J. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-39417-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-39417-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39416-9

  • Online ISBN: 978-3-319-39417-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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