Autocompletion for Business Process Modelling

  • Karol Wieloch
  • Agata Filipowska
  • Monika Kaczmarek
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 97)


This paper presents an idea and prototype of the semantic-based autocompletion mechanism supporting development of business process models. Currently available process modelling tools support business analysts by suggesting elements that may be incorporated in the process, validating modelled processes, providing additional descriptions easing automation, etc. However, these solutions based mainly on syntactic data, disregard proper identification and usage of previously modelled process fragments. The mechanism described in this paper analyses context and annotations of process tasks (also on the semantic level) in order to deliver a list of suggestions for possible successor tasks: process fragments that may complete the model being developed.

We argue that the proposed autocompletion mechanism has an ability to improve the efficiency of the modelling process by among others reducing modelling errors and shortening the duration of the modelling process.


Business Process Service Composition User Query Business Process Management Business Process Modeling Notation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Karol Wieloch
    • 1
  • Agata Filipowska
    • 1
  • Monika Kaczmarek
    • 1
  1. 1.Department of Information Systems, Faculty of Informatics and Electronic EconomyPoznan University of EconomicsPoland

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