• DocumentCode
    3205430
  • Title

    Autonomous Matchmaking Web Services

  • Author

    Yu, Hong Qing ; Dietze, Stefan ; Benn, Neil

  • Author_Institution
    Knowledge Media Inst., Open Univ., Milton Keynes, UK
  • fYear
    2010
  • fDate
    8-10 Oct. 2010
  • Firstpage
    420
  • Lastpage
    425
  • Abstract
    Current Semantic Web Services research investigates how to dynamically discover assemble and invoke Web services. Despite many research efforts, Semantic Web Services are still not fully recognized in industry. One important reason is the dissevered description layers of syntax and semantics. In other words, semantics is only useful for a service broker to discover services whereas service requesters still need to invoke services based on syntactic descriptions. In this paper, we view semantics from another angle to reform the Web service framework completely (even for input messages and output messages during invocation) by using only RDF and Linked Open Data. We introduce Autonomous Matchmaking Web Services in which Web services are brokering themselves to notify the service registry whether they are suitable to the requesters. This framework is designated to more efficiently work for dynamically assembling services at run time in a massively distributed environment.
  • Keywords
    Web services; open systems; pattern matching; semantic Web; Linked Open Data; RDF; autonomous matchmaking Web service; distributed environment; dynamically assembling service; semantic Web; syntactic descriptions; Moment methods; Resource description framework; Semantics; Standards; Syntactics; Web services; Autonomous Matchmaking; Linked Open Data; RDF; Semantic Web; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on
  • Conference_Location
    Krackow
  • Print_ISBN
    978-1-4244-7817-0
  • Type

    conf

  • DOI
    10.1109/CISIM.2010.5643504
  • Filename
    5643504