• DocumentCode
    501163
  • Title

    Macro Semantic Relations in Services Computing

  • Author

    Yang Qing-Ping ; Pu Guo-lin ; Qiu Yu-Hui

  • Author_Institution
    Dept. of Comput. Sci., Sichuan Univ. of Arts & Sci., Dazhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    254
  • Lastpage
    258
  • Abstract
    We state the macro semantic relations (MSR) in services computing from four courses-services discovery, services composition, services selection and services recommendation. We analyze the MSR through black box-details are ignored, and the characters of I/O are stressed. First, describe Web services with IOPEs and QoS. Secondary, describe the semantics of each course. In the description of composite services, we present the composite semantics through sequence, selection and concurrent relation, etc. For enhancing the accuracy of matchmaking requirement service and registered service, a matrix model of services composition based on complex network is imported. In the process of services selection, we propose select the service depending on the performance-price ratio. And analyze user information from three parts-basic information, access history information, and act information.
  • Keywords
    Web services; quality of service; QoS; Web service; access history information; act information; basic information; complex network; composite semantics; macro semantic relations; matrix model; performance-price ratio; registered service; requirement service; service composition; service discovery; service recommendation; service selection; services computing; Application software; Availability; Costs; Grid computing; Information retrieval; Information technology; Ontologies; Packaging; Quality of service; Web services; OWL-S; QoS; Services Composition; Services Discovery; Services Selection; services recommendation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.522
  • Filename
    5231215