• DocumentCode
    175995
  • Title

    Service matching model for RESTful web services

  • Author

    Jianhu Zhu ; Fang Cheng

  • Author_Institution
    Testing Technol. Res. Inst. of Broadband, Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    1121
  • Lastpage
    1125
  • Abstract
    In recent years, lots of RESTful Web services have emerged. However, it is still a critical problem that how to effectively find the desired RESTful Web services. Based on an efficient matching algorithm, this paper constructs a matching model. The model uses hRESTS and MicroWSMO to describe HTML document of RESTful Web Services. The model includes ontology, marking properties, matching engine, extractor, etc. Those modules have different functions. And the model can match the conditions of service requester and the parameters provided by service to find services. It is proved by experiments that the efficiency of RESTful Web services based on this model has been greatly improved compared with the existing matching model.
  • Keywords
    Web services; hypermedia markup languages; pattern matching; HTML document; MicroWSMO; RESTful Web services; hRESTS; service matching model; service requester conditions; Classification tree analysis; HTML; Ontologies; Protocols; Semantics; Syntactics; Web services; MicroWSMO; RESTful Web services; formatting; hRESTS; marking properties; matching algorithm; semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2014 10th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5150-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2014.6975998
  • Filename
    6975998