• DocumentCode
    2286504
  • Title

    QoS ontology based efficient web services selection

  • Author

    Qu, Li-Li ; Chen, Yan

  • Author_Institution
    Dalian Maritime Univ., Dalian, China
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    45
  • Lastpage
    50
  • Abstract
    The ability to efficiently and effectively select the inter-organizational and heterogeneous services is the important support for the development of the Web service technology. Quality of service (QoS) profiles of Web services are crucial in determining which service best addresses the user desires and objectives. This paper developed a general QoS-based service selection method. By importing the proposed QoS ontology into OWL-S standards, the method can express Web service´s nonfunctional attributes in a semantic and extensible way. Web service QoS based selection is formulated as a multi-criteria decision making (MCDM) which can be solved by using different MCDM models to evaluate QoS criteria of the candidate Web services. The values of quality parameters of a Web service are normalized to a non-negative real-valued number where higher normalized values represent higher levels of service performance. The proposed approach can be used as a solution for the complexity and reliability Web service selection problem.
  • Keywords
    Web services; decision making; knowledge representation languages; ontologies (artificial intelligence); quality of service; semantic Web; MCDM model; OWL-S standard; QoS ontology; Web service nonfunctional attribute; Web service selection; heterogeneous service; inter-organizational selection; multicriteria decision making; nonnegative real-valued number; quality-of-service; Conference management; Decision making; Engineering management; Ontologies; Proposals; Quality of service; Simple object access protocol; Taxonomy; Technology management; Web services; OWL-S; QoS; Web service selection; multiple criteria decision making; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2009. ICMSE 2009. International Conference on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-1-4244-3970-6
  • Electronic_ISBN
    978-1-4244-3971-3
  • Type

    conf

  • DOI
    10.1109/ICMSE.2009.5317544
  • Filename
    5317544