Title: Bio-inspired-based approach for web services classification

Authors: Mohamed Ali Bouanaka; Djamel Benmerzoug; Nacereddine Zarour

Addresses: Department of Software Technologies and Information Systems, Faculty of New Technologies of Information and Communication, University Abdelhamid Mehri – Constantine 2, Algeria ' Department of Software Technologies and Information Systems, Faculty of New Technologies of Information and Communication, University Abdelhamid Mehri – Constantine 2, Algeria ' Department of Software Technologies and Information Systems, Faculty of New Technologies of Information and Communication, University Abdelhamid Mehri – Constantine 2, Algeria

Abstract: Web services have become a promising technology in a variety of e-science or e-business areas. Classification of web services is one methodology that can be used in order to enhance the speed of web service discovery process. There are a variety of models and methods to deal with this issue from different aspects. Bio-inspired algorithms are becoming main approaches and solutions. This paper proposes a bio-inspired-based approach for web services classification. In our approach, web services are not classified based on services with similar features, but on services which share many interaction relations. This organisation can be used among others to guide the search algorithms compositions. Ant-based clustering algorithms are an appropriate alternative to traditional clustering algorithms. The algorithm has a number of features that make it an interesting study of cluster analysis. It has the ability of automatically discovering the number of clusters.

Keywords: web services; web service classification; bio-inspired computation; AntClass; service discovery; clustering algorithms; ant based clustering; cluster analysis.

DOI: 10.1504/IJSSC.2016.080284

International Journal of Space-Based and Situated Computing, 2016 Vol.6 No.3, pp.173 - 182

Received: 16 Jan 2016
Accepted: 25 Jun 2016

Published online: 08 Nov 2016 *

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