• DocumentCode
    3139845
  • Title

    Building the Semantic Relations-Based Web Services Registry through Services Mining

  • Author

    Chen, Shizhan ; Feng, Zhiyong ; Wang, Hui ; Wang, Tao

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2009
  • fDate
    1-3 June 2009
  • Firstpage
    736
  • Lastpage
    743
  • Abstract
    Bridging the gap between service consumer and service provider, Web services registry (WSR) plays an important role in the Web services architecture. But the main obstacle in front of service register is short of adequate knowledge. In this paper, we present an approach that combines social networking and semantic Web technology with WSR to facilitate the dynamic Web services composition (WSC) based on AI reasoning and planning approach. Firstly, we clarify the novel WSR, named services network (SN), and present its concepts and components. Secondly, we outline how to build SN through services mining and some of the issues that should be considered. Thirdly, we evaluate how this network style registry could facilitate automated WSC. Lastly, a short comprehensive overview of existing related works is also included.
  • Keywords
    Web services; data mining; inference mechanisms; planning (artificial intelligence); semantic Web; social networking (online); software architecture; Web services architecture; Web services registry; artificial intelligent reasoning; dynamic Web services composition; network style registry; planning approach; semantic Web technology; semantic relations; services mining; services network; social networking; Artificial intelligence; Computer networks; Information science; Meteorological radar; Ontologies; Semantic Web; Service oriented architecture; Social network services; Tin; Web services; Services Mining; Services Network; Web services; Web services registry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3641-5
  • Type

    conf

  • DOI
    10.1109/ICIS.2009.20
  • Filename
    5222897