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A Bipolar Approach to the Handling of User Preferences in Business Processes Retrieval

  • Katia Abbaci
  • Fernando Lemos
  • Allel Hadjali
  • Daniela Grigori
  • Ludovic Liétard
  • Daniel Rocacher
  • Mokrane Bouzeghoub
Part of the Communications in Computer and Information Science book series (CCIS, volume 297)

Abstract

In the context of retrieving business processes, most approaches still lead to a high selectivity rate, resulting in a large number of services offering similar functionalities and behavior. As these services may offer different Quality of Services (QoS) values, taking into account user preferences on QoS attributes allow to retrieve the most appropriate services. In this paper, we advocate an approach for handling preferences on QoS parameters in a bipolar way, i.e., distinguishing between negative and positive preferences as it seems to be the case in the human mind. Negative preferences represent constraints that have to be satisfied by the returned services, while positive preferences express wishes and are not compulsory. Finally, a set of experiments based on real data is conducted to demonstrate the relevance and the scalability of our proposal.

Keywords

Process model retrieval quality of services preferences bipolarity fuzzy set theory 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Katia Abbaci
    • 1
  • Fernando Lemos
    • 2
  • Allel Hadjali
    • 1
  • Daniela Grigori
    • 3
  • Ludovic Liétard
    • 1
  • Daniel Rocacher
    • 1
  • Mokrane Bouzeghoub
    • 2
  1. 1.IRISA/ENSSATLannionFrance
  2. 2.PRiSM LabVersaillesFrance
  3. 3.Paris-Dauphine Univ.ParisFrance

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