• DocumentCode
    2028877
  • Title

    Semantic Service Discovery using SAWSDL and SPARQL

  • Author

    Iqbal, Kashif ; Sbodio, Marco Luca ; Peristeras, Vassilios ; Giuliani, Giovanni

  • Author_Institution
    Digital Enterprise Res. Inst., NUI Galway, Galway
  • fYear
    2008
  • fDate
    3-5 Dec. 2008
  • Firstpage
    205
  • Lastpage
    212
  • Abstract
    Service discovery has always been a challenging task in the service oriented computing. Many approaches have already been put forward for the semantic service discovery or matchmaking task, where each approach uses it´s own logical formalism for service descriptions and user goals (i.e. formalized user request). As formalized service descriptions and user requests are used by the matchmaking process, matchmaking algorithm has a tight coupling with the underlying formalism used to describe services and goals. In this paper, we will present how SAWSDL can be used to annotate service descriptions while being agnostic to one particular service modeling formalism. The main contribution of this paper is to extend SAWSDL based service descriptions with the definition of pre and post-conditions using SPARQL query language and OWL-S Schema. We will also show how SPARQL query language can be used to formulate user goals. As a next step, we will present the matchmaking algorithm and prototype based on the matching of SPARQL based conditions and user goals.
  • Keywords
    Web services; XML; ontologies (artificial intelligence); query languages; semantic Web; OWL-S Schema; SAWSDL; SPARQL query language; formalised service descriptions; matchmaking task; semantic service discovery; service modeling formalism; service oriented computing; Database languages; Filtering; Grid computing; Intelligent systems; Middleware; Prototypes; Semantic Web; Taxonomy; Technological innovation; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2008. SKG '08. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3401-5
  • Electronic_ISBN
    978-0-7695-3401-5
  • Type

    conf

  • DOI
    10.1109/SKG.2008.87
  • Filename
    4725915