IDEAS home Printed from https://ideas.repec.org/h/spr/ihichp/978-3-642-00416-2_9.html
   My bibliography  Save this book chapter

Semantic Business Process Management

In: Handbook on Business Process Management 1

Author

Listed:
  • Jörg Becker

    (University of Münster)

  • Daniel Pfeiffer
  • Thorsten Falk
  • Michael Räckers

Abstract

The objective of this chapter is to describe and evaluate an approach for the automated analysis of business process models. It is described why an automated way of process analysis is necessary and why it is beneficial to use our approach. As business process models are moving in the center of decision making, it is important for the corresponding decision makers to get transparent, fast, and comprehensive results of process analysis. Dealing with huge amount of data this is only possible with automated support. Based on a comprehensive literature study, we identified different deviations and conflicts that usually arise in business process modeling projects. The class of semantic building block-based languages which combines structural modeling elements with corresponding domain semantics can help avoiding these conflicts. Beside the conceptual development of the language class we conducted an empirical evaluation of PICTURE, a business process modeling language that is an instantiation of semantic building block-based languages. Our results show that (a) our derived language class is applicable, (b) modeling conflicts significantly can be reduced, and (c) modeled data can be analyzed automatically.

Suggested Citation

  • Jörg Becker & Daniel Pfeiffer & Thorsten Falk & Michael Räckers, 2010. "Semantic Business Process Management," International Handbooks on Information Systems, in: Jan vom Brocke & Michael Rosemann (ed.), Handbook on Business Process Management 1, pages 187-211, Springer.
    • Handle: RePEc:spr:ihichp:978-3-642-00416-2_9
    DOI: 10.1007/978-3-642-00416-2_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Frederik Gailly & Nadejda Alkhaldi & Sven Casteleyn & Wouter Verbeke, 2017. "Recommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+)," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 235-250, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ihichp:978-3-642-00416-2_9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.