• DocumentCode
    634883
  • Title

    Analyzing Distribution of Implicit Semantic Information in Web Services

  • Author

    Xiaocao Hu ; Zhiyong Feng ; Shizhan Chen

  • Author_Institution
    Tianjin Key Lab. of Cognitive Comput. & Applic., Tianjin Univ., Tianjin, China
  • fYear
    2013
  • fDate
    22-26 July 2013
  • Firstpage
    415
  • Lastpage
    420
  • Abstract
    Semantic annotation for Web services represents an important approach that transforms Web services into Semantic Web services. This paper analyzes the distribution of implicit semantic information to enhance the understanding about Web services. After quantifying implicit semantic information in Web services, the PCA methodology is utilized for obtaining principal components of implicit semantic information. The experiment conducted on 11836 WSDL documentations shows that almost 97 percent of implicit semantic information is distributed in inputs and outputs. Thus, the evaluation of how much implicit semantic information can be described by semantic annotation is offered.
  • Keywords
    Web services; information analysis; principal component analysis; semantic Web; service-oriented architecture; PCA methodology; SOA; WSDL documentations; Web services description language; implicit semantic information distribution analysis; principal component analysis; semantic Web services; semantic annotation; Covariance matrices; Documentation; Eigenvalues and eigenfunctions; Semantic Web; Semantics; Vectors; Web services; Distribution of Implicit Semantic Information; Principal Components Analysis; Web Service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference Workshops (COMPSACW), 2013 IEEE 37th Annual
  • Conference_Location
    Japan
  • Type

    conf

  • DOI
    10.1109/COMPSACW.2013.122
  • Filename
    6605826