• DocumentCode
    561105
  • Title

    Bootstrapping operation-level web service ontology: A bottom-up approach

  • Author

    Liu, Xumin ; Liu, Hua

  • Author_Institution
    Dept. of Comput. Sci., Rochester Inst. of Technol., Rochester, NY, USA
  • fYear
    2011
  • fDate
    15-18 Oct. 2011
  • Firstpage
    19
  • Lastpage
    26
  • Abstract
    Ontology is the key ingredient of semantic Web service technologies, which support systematic management of Web services, such as automatic service discovery, service composition, and change management. It is crucial and challenging to reduce the human efforts for developing ontologies. We propose a bottom-up approach that bootstraps operation-level service ontologies from WSDL descriptions. The approach leverages the techniques of information retrieval and machine learning. The relevance and similarity between Web services are measured based on the WSDL descriptions. The process of developing service ontologies consists of two steps. First, we build service ontologies based on the service relevance. We then construct the structure of the service ontologies based on the service similarity. We conduct an empirical study on real Web services to demonstrate the effectiveness of the proposed approach.
  • Keywords
    Web services; information retrieval; learning (artificial intelligence); ontologies (artificial intelligence); semantic Web; WSDL descriptions; automatic service discovery; bootstrapping operation-level Web service ontology; bottom-up approach; change management; information retrieval; machine learning; semantic Web service; service composition; service similarity; Ontologies; Web services; Ontology; WSDL; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2011 7th International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4673-0683-6
  • Electronic_ISBN
    978-1-936968-32-9
  • Type

    conf

  • Filename
    6144785