• DocumentCode
    2750689
  • Title

    Architecture for Web Services Filtering and Clustering

  • Author

    Abramowicz, Witold ; Haniewicz, Konstanty ; Kaczmarek, Monika ; Zyskowski, Dominik

  • Author_Institution
    Dept. of Inf. Syst., Poznan Univ. of Econ., Poznan
  • fYear
    2007
  • fDate
    13-19 May 2007
  • Firstpage
    18
  • Lastpage
    18
  • Abstract
    The need for filtering of services results from the ever growing number of available Web services which offer similar functionalities. The filtering process is based not only on the functional aspects of services, but also on non-functional ones. One of the weaknesses of the filtering process is lack of high efficiency and its complexity as processing ontological descriptions and reasoning on them is extremely time-consuming. In order to speed-up the filtering process, clustering techniques that would narrow the set of potential services which meet user´s preferences may be introduced. In this article the architecture for Semantic Web services filtering and clustering system is shortly discussed.
  • Keywords
    Web services; ontologies (artificial intelligence); semantic Web; software architecture; clustering technique; ontological description; semantic Web services filter; service oriented architecture; Clustering algorithms; Filtering algorithms; Humans; Information filtering; Information filters; Information systems; Ontologies; Semantic Web; Service oriented architecture; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet and Web Applications and Services, 2007. ICIW '07. Second International Conference on
  • Conference_Location
    Morne
  • Print_ISBN
    0-7695-2844-9
  • Electronic_ISBN
    0-7695-2844-9
  • Type

    conf

  • DOI
    10.1109/ICIW.2007.19
  • Filename
    4222920