Discovery and composition of web services using artificial intelligence planning and web service modeling ontology

In today’s Web environment, Web services are the preferred standards-based way to realize Service Oriented Architecture (SOA) computing. A problem that has become one of the recent critical issues is automated discovery and composition of Semantic Web services. A number of approaches have been prese...

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Main Author:	Tabatabaei, Sayed Gholam Hassan
Format:	Thesis
Language:	English
Published:	2010
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/29268/5/SayedGholamHassanPFSKSM2010.pdf
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id	my-utm-ep.29268
record_format	uketd_dc
spelling	my-utm-ep.292682017-09-13T07:13:27Z Discovery and composition of web services using artificial intelligence planning and web service modeling ontology 2010 Tabatabaei, Sayed Gholam Hassan TK Electrical engineering. Electronics Nuclear engineering In today’s Web environment, Web services are the preferred standards-based way to realize Service Oriented Architecture (SOA) computing. A problem that has become one of the recent critical issues is automated discovery and composition of Semantic Web services. A number of approaches have been presented to solve the problem. However, most of these approaches only consider discovery or composition of Web services but not both. In this study, an effective approach called AIMO, based on Artificial Intelligence (AI) planning, Web Service Modeling Ontology (WSMO), and Semantic Web has been proposed to tackle the problem. The main purpose of this study is to investigate and develop a novel approach for automated Web service discovery and composition. In this case, a comparative evaluation of state-of-the-art approaches for Web service composition approaches has been done and the strengths and weaknesses of those approaches have been discussed. Moreover a translator for interaction between WSMO and AI-planning based on Description Logics has been proposed. In addition, some parts of AIMO architecture have been tested on a practical case study, and the results based on the experimental validation demonstrate that AIMO provides an effective and applicable solution. AIMO continues to support loose coupling paradigm of SOA by separating the discovery from the composition of Web services. 2010 Thesis http://eprints.utm.my/id/eprint/29268/ http://eprints.utm.my/id/eprint/29268/5/SayedGholamHassanPFSKSM2010.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems Faculty of Computer Science and Information Systems
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Tabatabaei, Sayed Gholam Hassan Discovery and composition of web services using artificial intelligence planning and web service modeling ontology
description	In today’s Web environment, Web services are the preferred standards-based way to realize Service Oriented Architecture (SOA) computing. A problem that has become one of the recent critical issues is automated discovery and composition of Semantic Web services. A number of approaches have been presented to solve the problem. However, most of these approaches only consider discovery or composition of Web services but not both. In this study, an effective approach called AIMO, based on Artificial Intelligence (AI) planning, Web Service Modeling Ontology (WSMO), and Semantic Web has been proposed to tackle the problem. The main purpose of this study is to investigate and develop a novel approach for automated Web service discovery and composition. In this case, a comparative evaluation of state-of-the-art approaches for Web service composition approaches has been done and the strengths and weaknesses of those approaches have been discussed. Moreover a translator for interaction between WSMO and AI-planning based on Description Logics has been proposed. In addition, some parts of AIMO architecture have been tested on a practical case study, and the results based on the experimental validation demonstrate that AIMO provides an effective and applicable solution. AIMO continues to support loose coupling paradigm of SOA by separating the discovery from the composition of Web services.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Tabatabaei, Sayed Gholam Hassan
author_facet	Tabatabaei, Sayed Gholam Hassan
author_sort	Tabatabaei, Sayed Gholam Hassan
title	Discovery and composition of web services using artificial intelligence planning and web service modeling ontology
title_short	Discovery and composition of web services using artificial intelligence planning and web service modeling ontology
title_full	Discovery and composition of web services using artificial intelligence planning and web service modeling ontology
title_fullStr	Discovery and composition of web services using artificial intelligence planning and web service modeling ontology
title_full_unstemmed	Discovery and composition of web services using artificial intelligence planning and web service modeling ontology
title_sort	discovery and composition of web services using artificial intelligence planning and web service modeling ontology
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems
granting_department	Faculty of Computer Science and Information Systems
publishDate	2010
url	http://eprints.utm.my/id/eprint/29268/5/SayedGholamHassanPFSKSM2010.pdf
_version_	1747815701656109056

Discovery and composition of web services using artificial intelligence planning and web service modeling ontology

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