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Mining service abstractions

Dionysis Athanasopoulos, Apostolos V. Zarras, Panos Vassiliadis, Valérie Issarny

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.

BibTeX
@inproceedings{Athanasopoulos-al:ICSE11,
  author    = {Dionysis Athanasopoulos and
               Apostolos V. Zarras and
               Panos Vassiliadis and
               Val{\'{e}}rie Issarny},
  title     = {Mining service abstractions},
  booktitle = {ICSE},
  pages     = {944--947},
  publisher = {{ACM}},
  year      = {2011},
}

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