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Title: Anytime Planning for Web Service Composition via Alternative Plan Merging
Authors: Markou, George
Refanidis, Ioannis
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: contingent planning
web service
Fully Observable Probabilistic (FOP) problem
Issue Date: Nov-2014
Publisher: IEEE
First Page: 91
Last Page: 98
Volume Title: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence
Abstract: This paper presents an approach towards automated semantic web service composition using contingent planning. The presented planner, MAPPPA, is an anytime probabilistic planner tailor-made for web service composition problems that produces a contingent plan by integrating alternative deterministic plans previously computed from a determinized version of the original planning problem. The planner can produce each plan without disregarding the important information that each web service contains in relation to its cost and probability of alternative outcomes. MAPPPA has already been integrated into our prototype web service composition platform, MADSWAN, producing promising results.
Electronic ISBN: 978-1-4799-6572-4
Other Identifiers: 10.1109/ICTAI.2014.24
Appears in Collections:Department of Applied Informatics

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