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Customizable-Resources Description, Selection, and Composition: A Feature Logic Based Approach

  • Yacine Sam
  • François-Marie Colonna
  • Omar Boucelma
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4275)

Abstract

Users preferences heterogeneity in distributed systems often forces resources suppliers to offer customizable-resources in order to fulfill different customer needs. We present in this paper a Feature Logic based approach to customizable-resources description, selection, and composition. In our approach, resources and requests are both specified in a logical framework by feature terms. The feature terms unification technique allows reasoning on these specifications in order to select and possibly compose the resources that are candidate to satisfy a client request.

Keywords

Resource Description Framework Feature Logic Mass Customization Resource Selection Resource Variant 
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 2006

Authors and Affiliations

  • Yacine Sam
    • 1
  • François-Marie Colonna
    • 1
  • Omar Boucelma
    • 1
  1. 1.Aix-Marseille Universités, UMR CNRS 6168Marseille Cedex 20France

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