• DocumentCode
    555380
  • Title

    Mining service abstractions: NIER track

  • Author

    Athanasopoulos, Dionysis ; Zarras, Apostolos V. ; Vassiliadis, Panos ; Issarny, Valerie

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Ioannina, Ioannina, Greece
  • fYear
    2011
  • fDate
    21-28 May 2011
  • Firstpage
    944
  • Lastpage
    947
  • Abstract
    Several lines of research rely on the concept of service abstractions to enable the organization, the composition and the adaptation of services. However, what is still missing, is a systematic approach for extracting service abstractions out of the vast amount of services that are available all over the Web. To deal with this issue, we propose an approach for mining service abstractions, based on an agglomerative clustering algorithm. Our experimental findings suggest that the approach is promising and can serve as a basis for future research.
  • Keywords
    Internet; data mining; pattern clustering; service-oriented architecture; NIER track; agglomerative clustering algorithm; service abstraction mining; Algorithm design and analysis; Clustering algorithms; Data mining; Web services; XML; abstraction recovery; agglomerative clustering; services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2011 33rd International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    0270-5257
  • Print_ISBN
    978-1-4503-0445-0
  • Electronic_ISBN
    0270-5257
  • Type

    conf

  • DOI
    10.1145/1985793.1985954
  • Filename
    6032558