• DocumentCode
    2709186
  • Title

    A Semantic-based Meteorology Grid Service Registry, Discovery and Composition Framework

  • Author

    Ren, Kaijun ; Xiao, Nong ; Song, Junqiang ; Zhang, Weimin ; Chen, Tao

  • Author_Institution
    Nat. Lab. for Parallel & Distrib. Process., NUDT, Changsha, China
  • fYear
    2006
  • fDate
    1-3 Nov. 2006
  • Firstpage
    60
  • Lastpage
    60
  • Abstract
    Meteorology Grid Computing aims to provide scientist with seamless, reliable, secure and inexpensive access to meteorological resources. In this paper, we presented a semantic-based meteorology grid service registry, discovery and composition framework by combining grid technologies and the advantages of semantic web techniques. The main objective of the framework is to support automating the discovery, selection, and workflow composition of semantically described heterogeneous meteorological grid services, which offers the possibility of facilitating geographically distributed meteorological scientists to resolve complex scientific problems cooperately. With this framework, the key technologies such as semantic registry, semantic matchmaking, QoS ranking and composition model, will be discussed.
  • Keywords
    Web services; geophysics computing; grid computing; semantic Web; complex scientific problem; geographically distributed meteorological scientist; heterogeneous meteorological grid service selection; meteorological resource; meteorology grid computing; semantic Web; semantic-based meteorology grid service composition; semantic-based meteorology grid service discovery; semantic-based meteorology grid service registry; workflow composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    0-7695-2673-X
  • Type

    conf

  • DOI
    10.1109/SKG.2006.13
  • Filename
    5727697