Mining Service Abstractions

Dionysis Athanasopoulos, Apostolos V. Zarras, Panos Vassiliadis, and Valerie Issarny
University of Ioannina, Greece; INRIA, France
Program Analysis 2

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 ļ¬ndings suggest that the approach is promising and can serve as a basis for future research.