• DocumentCode
    1885785
  • Title

    Chord-Based Semantic Service Discovery with QoS

  • Author

    Ying Zhang ; Hui He ; Jing Teng

  • Author_Institution
    Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    16-17 Jan. 2013
  • Firstpage
    365
  • Lastpage
    367
  • Abstract
    Large quantities of services emerging in the internet have put forward higher requirement to service discovery, as a result, the service discovery mechanism based on keywords and simplified classification of UDDI can no longer work well. Service description language, metadata storage and service matching algorithm are three critical factors influencing the efficiency and quality of service discovery. This paper presents a prototype system of Chord-based semantic service discovery with QoS(Quality of Service). It puts QoS into OWL-S(Web ontology language for services) to describe services, and adopts Chord-based distributed storage. OWL-QoS based matching algorithm is also used to discover services. Experiment results show that the approach presented in this paper can improve the efficiency and accuracy of service discovery commendably.
  • Keywords
    Internet; knowledge representation languages; meta data; quality of service; storage management; Internet; OWL-QoS based matching algorithm; Web ontology language; chord-based semantic service discovery; metadata storage; quality of service; service description language; service discovery efficiency; service discovery quality; service matching algorithm; Educational institutions; Ontologies; Prototypes; Quality of service; Semantic Web; Semantics; Web services; Chord; Ontology; QoS; Service discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-5652-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2013.93
  • Filename
    6493743