• DocumentCode
    596541
  • Title

    An incremental semantic web service discovery method based on Formal Concept Analysis

  • Author

    Pei Yang ; Xianzhong Zhou ; Xiaoming Lu ; Kui Wu

  • Author_Institution
    Sch. of Manage. & Eng., Nanjing Univ., Nanjing, China
  • fYear
    2012
  • fDate
    18-20 Oct. 2012
  • Firstpage
    59
  • Lastpage
    63
  • Abstract
    Traditional web service discovery methods usually calculate the matching degrees of user demands and available services one by one, which is time-costing and not suitable for the open, dynamic and large network environment. In this paper, an incremental semantic web service discovery method based on Formal Concept Analysis (FCA) is proposed. Furthermore, the algorithm of constructing the services lattice and retrieving the web services is proposed. Experimental results show that this method can incrementally create the service indexes and significantly improve the service discovery efficiency.
  • Keywords
    Web services; data mining; formal concept analysis; information retrieval; semantic Web; FCA; Web service retrieval; formal concept analysis; incremental semantic Web service discovery method; service discovery efficiency; service indexes; service lattice; Algorithm design and analysis; Generators; Indexing; Lattices; Ontologies; Semantic Web; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-1743-6
  • Type

    conf

  • DOI
    10.1109/ICACI.2012.6463122
  • Filename
    6463122