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Using Machine Learning in Web Services Composition

Authors:
Valeriu Todica
Mircea-Florin Vaida
Marcel Cremene

Keywords: Web Services; Reinforcement Learning.

Abstract:
Web service composition is the process of aggregating a set of existing web services in order to create new functionality. Current approaches to automatic web service composition are based, in general, on various Artificial Intelligence (AI) techniques, in particular search algorithms. Automated planning is one of the most frequently used. A limitation of these approaches is that they do not involve learning from previous attempts in order to improve the planning process. A new approach for automatic web service composition, based on Reinforcement Learning, is proposed. The method is suited for problems that do not define a particular goal to be reached but a reward that has to be maximized.

Pages: 122 to 126

Copyright: Copyright (c) IARIA, 2012

Publication date: July 22, 2012

Published in: conference

ISSN: 2308-3549

ISBN: 978-1-61208-215-8

Location: Nice, France

Dates: from July 22, 2012 to July 27, 2012