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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| Language: | eng eng |
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2005
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| Online Access: | 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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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 |
| _version_ |
1747827476868890624 |