Web services classification based on intelligent clustering techniques

Huiying Gao*, Wolffried Stucky, Lei Liu

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    18 Citations (Scopus)

    Abstract

    The better way for Web services discovery is to classify the Web services into different categories when they are published in a registry. The method of intelligent clustering based classification of the Web services is mainly studied. A hybrid solution is proposed for building and populating a taxonomy structure by combining human knowledge with the techniques of artificial intelligence. The Web service is converted into standard vector format through Web service description language (WSDL) document. The selforganizing neural network based learning algorithm and clustering algorithm are designed and implemented to classify the Web services automatically.

    Original languageEnglish
    Title of host publicationProceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009
    Pages242-245
    Number of pages4
    DOIs
    Publication statusPublished - 2009
    Event2009 International Forum on Information Technology and Applications, IFITA 2009 - Chengdu, China
    Duration: 15 May 200917 May 2009

    Publication series

    NameProceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009
    Volume3

    Conference

    Conference2009 International Forum on Information Technology and Applications, IFITA 2009
    Country/TerritoryChina
    CityChengdu
    Period15/05/0917/05/09

    Keywords

    • Artificial intelligence
    • Clustering analysis
    • Neural network
    • Semantic vector space
    • Web service

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