AI planning for automating web service composition in tourism domain

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 a...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Husniza, Husni
التنسيق: أطروحة
اللغة:eng
eng
منشور في: 2005
الموضوعات:
الوصول للمادة أونلاين:https://etd.uum.edu.my/2982/1/AI_PLANNING_FOR_AUTOMATING....pdf
https://etd.uum.edu.my/2982/2/1.AI_PLANNING_FOR_AUTOMATING....pdf
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id my-uum-etd.2982
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spelling my-uum-etd.29822013-07-24T12:19:12Z AI planning for automating web service composition in tourism domain 2005 Husniza, Husni College of Arts and Sciences (CAS) School of Computer Science and Software Engineering TK5101-6720 Telecommunication 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. 2005 Thesis https://etd.uum.edu.my/2982/ https://etd.uum.edu.my/2982/1/AI_PLANNING_FOR_AUTOMATING....pdf application/pdf eng validuser https://etd.uum.edu.my/2982/2/1.AI_PLANNING_FOR_AUTOMATING....pdf application/pdf eng public http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000241424 masters masters University of Western Australia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic TK5101-6720 Telecommunication
spellingShingle TK5101-6720 Telecommunication
Husniza, Husni
AI planning for automating web service composition in tourism domain
description 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.
format Thesis
qualification_name masters
qualification_level Master's degree
author Husniza, Husni
author_facet Husniza, Husni
author_sort Husniza, Husni
title AI planning for automating web service composition in tourism domain
title_short AI planning for automating web service composition in tourism domain
title_full AI planning for automating web service composition in tourism domain
title_fullStr AI planning for automating web service composition in tourism domain
title_full_unstemmed AI planning for automating web service composition in tourism domain
title_sort ai planning for automating web service composition in tourism domain
granting_institution University of Western Australia
granting_department College of Arts and Sciences (CAS)
publishDate 2005
url https://etd.uum.edu.my/2982/1/AI_PLANNING_FOR_AUTOMATING....pdf
https://etd.uum.edu.my/2982/2/1.AI_PLANNING_FOR_AUTOMATING....pdf
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