The need for filtering of services results from the ever growing number of available Web services which offer similar functionalities. The filtering process is based not only on the functional aspects of services, but also on non-functional ones. One of the weaknesses of the filtering process is lack of high efficiency and its complexity as processing ontological descriptions and reasoning on them is extremely time-consuming. In order to speed-up the filtering process, clustering techniques that would narrow the set of potential services which meet user's preferences may be introduced. In this article the architecture for Semantic Web services filtering and clustering system is shortly discussed.
['Witold Abramowicz', 'Konstanty Haniewicz', 'Monika Kaczmarek', 'Dominik Zyskowski']
Architecture for Web Services Filtering and Clustering