An improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology

The subject of web services has become a popular topic in the area of computer science, as it provides the ability to collect capabilities and components in a unique interface to meet user requirements. One of the significant issues in this area is the development of an accurate service selection ap...

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Main Author:	Khezrian, Mojtaba
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TK5015.888 Web sites
Online Access:	http://eprints.utm.my/id/eprint/38858/5/MojtabadKhezrianPFSKSM2013.pdf
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id	my-utm-ep.38858
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spelling	my-utm-ep.388582017-06-29T06:50:50Z An improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology 2013-08 Khezrian, Mojtaba TK5015.888 Web sites The subject of web services has become a popular topic in the area of computer science, as it provides the ability to collect capabilities and components in a unique interface to meet user requirements. One of the significant issues in this area is the development of an accurate service selection approach. In the existing approaches, accuracy refers to the accuracy of the selection method; the accuracy of the input data are neglected. There are many approaches in service selection for managing modelling or algorithmic issues. This research proposes an Accurate approach based on multi-criteria decision making (MCDM) and web service modelling ontology (WSMO), which is called AMW. The accuracy of the selection method is improved compared to existing methods, and the accuracy of the input data are considered. For this purpose, first, a comparative evaluation of state-of-the-art approaches for web service selection approaches has been performed, and the strengths and weaknesses of those approaches have been discussed. Second, the weaknesses of the existing approaches have been identified by applying the analytical hierarchy process (AHP) method to define default criteria weights and enhanced VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) for the selection of services. Moreover, to improve the accuracy of input data, the confidence level of the service provider and the power of the decision maker are considered. Finally, the AMW approach has been validated by applying two case studies with various situations. The results of the experimental validation demonstrate that AMW provides an accurate and feasible solution. The results of this research can assist service consumers in attaining a more accurate decision when selecting the appropriate service. 2013-08 Thesis http://eprints.utm.my/id/eprint/38858/ http://eprints.utm.my/id/eprint/38858/5/MojtabadKhezrianPFSKSM2013.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK5015.888 Web sites
spellingShingle	TK5015.888 Web sites Khezrian, Mojtaba An improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology
description	The subject of web services has become a popular topic in the area of computer science, as it provides the ability to collect capabilities and components in a unique interface to meet user requirements. One of the significant issues in this area is the development of an accurate service selection approach. In the existing approaches, accuracy refers to the accuracy of the selection method; the accuracy of the input data are neglected. There are many approaches in service selection for managing modelling or algorithmic issues. This research proposes an Accurate approach based on multi-criteria decision making (MCDM) and web service modelling ontology (WSMO), which is called AMW. The accuracy of the selection method is improved compared to existing methods, and the accuracy of the input data are considered. For this purpose, first, a comparative evaluation of state-of-the-art approaches for web service selection approaches has been performed, and the strengths and weaknesses of those approaches have been discussed. Second, the weaknesses of the existing approaches have been identified by applying the analytical hierarchy process (AHP) method to define default criteria weights and enhanced VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) for the selection of services. Moreover, to improve the accuracy of input data, the confidence level of the service provider and the power of the decision maker are considered. Finally, the AMW approach has been validated by applying two case studies with various situations. The results of the experimental validation demonstrate that AMW provides an accurate and feasible solution. The results of this research can assist service consumers in attaining a more accurate decision when selecting the appropriate service.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Khezrian, Mojtaba
author_facet	Khezrian, Mojtaba
author_sort	Khezrian, Mojtaba
title	An improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology
title_short	An improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology
title_full	An improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology
title_fullStr	An improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology
title_full_unstemmed	An improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology
title_sort	improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
url	http://eprints.utm.my/id/eprint/38858/5/MojtabadKhezrianPFSKSM2013.pdf
_version_	1747816530690703360

An improved accuracy of web service selection based on multi-criteria decision making and web service modeling ontology

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