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Markov-HTN Planning Approach to Enhance Flexibility of Automatic Web Services Composition

By Stephan Reiff-Marganiec, Kun Chen and Jiuyun Xu

Abstract

Automatic Web services composition can be\ud achieved by using AI planning techniques. HTN\ud planning has been adopted to handle the OWL-S Web\ud service composition problem. However, existing\ud composition methods based on HTN planning have not\ud considered the choice of decompositions available to a\ud problem which can lead to a variety of valid solutions.\ud In this paper, we propose a model of combining a\ud Markov decision process model and HTN planning to\ud address Web services composition. In the model, HTN\ud planning is enhanced to decompose a task in multiple\ud ways and hence be able to find more than one plan,\ud taking both functional and non-functional properties\ud into account. Furthermore, an evaluation method to\ud choose the optimal plan and some experimental results\ud illustrate that the proposed approach works effectively

Publisher: IEEE
Year: 2009
DOI identifier: 10.1109/ICWS.2009.43
OAI identifier: oai:lra.le.ac.uk:2381/9133

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