• DocumentCode
    2902379
  • Title

    Enhancing Grid Service Discovery with a Semantic Wiki and the Concept Matching Approach

  • Author

    Guan, Tao ; Fowler, David ; Bandara, Ayomi ; Zaluska, Ed ; De Roure, D. ; Crowder, Richard ; Wills, Gary

  • Author_Institution
    Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    208
  • Lastpage
    215
  • Abstract
    An important challenge of realizing the vision of Grid computing that heterogeneous resources are shared in dynamic and multi-institutional virtual organization is that users need to locate, find, select and invoke appropriate Grid services on demand. However, at the current stage, both Grid resource description and discovery mechanisms are still at an immature stage. This paper presents a semantic solution for flexible Grid service discovery. The service description knowledge is collected by using a semantic wiki, and the proposed service matching approach compares the semantic content of user requests against service advertisements and provides a ranked list of candidate service. Based on them, a service information middleware has been developed and integrated into the service-oriented Grid environment, facilitating an enhanced Grid access for users.
  • Keywords
    grid computing; middleware; virtual reality; concept matching; grid computing; grid service discovery; middleware; semantic wiki; service description knowledge; service-oriented grid environment; virtual organization; Algorithm design and analysis; Buildings; Computer science; Grid computing; Knowledge acquisition; Middleware; Protocols; Time measurement; Web services; Concept Matching; Grid Service Discovery; Semantic Wiki;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
  • Conference_Location
    Zhuhai
  • Print_ISBN
    978-0-7695-3810-5
  • Type

    conf

  • DOI
    10.1109/SKG.2009.82
  • Filename
    5368577