UUM Electronic Theses and Dissertation
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AI planning for automating web service composition in tourism domain

Husniza, Husni (2005) AI planning for automating web service composition in tourism domain. Masters thesis, University of Western Australia.

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Web services are changing the way how online business operates, especially in tourism domain. Typically, existing Web services are built individually as atomic services. The rapid growth of Web services has created the need for Web service composition so that clients can compose atomic services to achieve more complex tasks. Thus, to ease the process, automation is important. Automation means that the service composition is done with less or no user interference. Hence, we propose a framework to automatically compose Web services using SHOP2 planner. SHOP2 is a planner that implements AI planning technique, called Hi-erarchical Task Network (HTN). We propose and implement a framework to com-pose services available from the Australian Tourism Data Warehouse (ATDW) and present the example execution results. We also outline some drawbacks of our approach, identify open problems, and suggest future work to improve the framework.

Item Type: Thesis (Masters)
Supervisor : UNSPECIFIED
Item ID: 2982
Uncontrolled Keywords: Web service composition, automatic composition, AI planning, SHOP2, ATDW
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
Divisions: College of Arts and Sciences (CAS)
Date Deposited: 30 Oct 2012 01:22
Last Modified: 24 Jul 2013 12:19
Department: School of Computer Science and Software Engineering
URI: https://etd.uum.edu.my/id/eprint/2982

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