• DocumentCode
    3153728
  • Title

    Service composition recovery using formal concept analyst & WordNet similarity

  • Author

    Maher, Mohamed ; Hamza, Haitham S. ; Mohamed, Ramadan Moawad

  • Author_Institution
    Collage of Comput. Sci., Arab Acad. of Sci. & Technol., Cairo, Egypt
  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    123
  • Lastpage
    128
  • Abstract
    The increased number of web services and the continuous need to integrate them into complex business processes have increased the need to enhance the web service discovery and selection processes. Service discovery based on semantics of web services is one of the main needs in service integration and composition. The main current approaches for semantic discovery of services are the keyword-based approach and the ontology-based approach. The plain simple keyword matching strategy is time-consuming and has inefficient recall and precision. The ontology-based strategy, on the other hand, is efficient, but may not be practical for the wide public use due to the lack of domain experts. In this paper, we propose a new approach that support semantic service discovery and service backing up in case of service unavailability. This approach is built using the FCA ( Formal concept analysis ) lattices and the WordNet.
  • Keywords
    Web services; formal concept analysis; ontologies (artificial intelligence); service-oriented architecture; text analysis; FCA; Web service discovery; WordNet similarity; complex business processes; formal concept analyst; keyword matching strategy; keyword-based approach; ontology-based approach; service backing up; service composition recovery; service integration; service oriented architecture; Buildings; Context; Data mining; Documentation; Lattices; Semantics; Web services; Formal Concept Analysis (FCA); Semantic; Service Discovery; Web Services; WordNet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2011 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4577-0964-7
  • Electronic_ISBN
    978-1-4577-0965-4
  • Type

    conf

  • DOI
    10.1109/IRI.2011.6009533
  • Filename
    6009533