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Comparison: Handling Preferences with DIANE and miAamics

  • Ulrich Küster
  • Birgitta König-Ries
  • Tiziana Margaria
  • Bernhard Steffen
Part of the Semantic Web And Beyond book series (ADSW, volume 8)

In this chapter we compare the DIANE and miAamics solutions to service discovery along a specific feature supported by those solutions: preferences. Although quite different in their theoretical and technical background, both techniques have in fact the ability to express user preferences, that are used internally to rank the evaluation results. These preferences are used here to incorporate functional aspects as defined by the SWS Challenge tasks, but they can also be used to express non-functional properties like quality aspects. Here we take a closer look at how preferences are realized in the two different approaches and we briefly compare their profiles.

Keywords

Service Discovery Price Difference Price Rule Weighted Rule Processor Power 
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 Science+Business Media, LLC 2009

Authors and Affiliations

  • Ulrich Küster
    • 1
  • Birgitta König-Ries
    • 1
  • Tiziana Margaria
    • Bernhard Steffen
      • 2
    1. 1.Institute for Computer ScienceUniversity JenaGermany
    2. 2.Chair of Programming SystemsTechnical University of DortmundGermany

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