AIMO: an effective approach to support semantic web service discovery and composition
Web services are the preferred standards-based way to realize Service Oriented Architecture (SOA) computing. A problem that has become as one of the recent critical issues is automated discovery and composition of Web services. A number of approaches have been presented to solve the problem. Howeve...
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2009
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my.utm.118232011-01-19T09:42:37Z http://eprints.utm.my/id/eprint/11823/ AIMO: an effective approach to support semantic web service discovery and composition Tabatabaei, Sayed Gholam Hassan Wan Kadir, Wan M. N. Ibrahim, Suhaimi QA75 Electronic computers. Computer science Web services are the preferred standards-based way to realize Service Oriented Architecture (SOA) computing. A problem that has become as one of the recent critical issues is automated discovery and composition of Web services. A number of approaches have been presented to solve the problem. However, most of these approaches neglect consideration of both discovery and composition of Web services. In this article, an effective approach with the name of AIMO, based on AI-planning and Web Service Modeling Ontology (WSMO), has been proposed to tackle that problem. Moreover a translator for interaction between WSMO and AI-planning is proposed. AIMO continues to support loose coupling paradigm of SOA by separating the discovery from the composition of Web services. Some parts of AIMO architecture have been tested on a case study, and the preliminary results demonstrate that AIMO provides an applicable solution Global Information Publisher (H.K) Co., Ltd. 2009 Article PeerReviewed Tabatabaei, Sayed Gholam Hassan and Wan Kadir, Wan M. N. and Ibrahim, Suhaimi (2009) AIMO: an effective approach to support semantic web service discovery and composition. International Journal of Computational Science, 3 (2). pp. 133-150. ISSN 1992-6677 (online) ; 1992-6669 (print) http://www.gip.hk/ijcs/V3N2/Abstract/V3-n2-ab2.pdf |
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QA75 Electronic computers. Computer science Tabatabaei, Sayed Gholam Hassan Wan Kadir, Wan M. N. Ibrahim, Suhaimi AIMO: an effective approach to support semantic web service discovery and composition |
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Web services are the preferred standards-based way to realize Service Oriented Architecture (SOA) computing. A problem that has become as one of the recent critical issues is automated discovery and composition of Web services. A number of approaches have been presented to solve the problem. However, most of these approaches neglect consideration of both discovery and composition of Web services. In this article, an effective approach with the name of AIMO, based on AI-planning and Web Service Modeling Ontology (WSMO), has been proposed to tackle that problem. Moreover a translator for interaction between WSMO and AI-planning is proposed. AIMO continues to support loose coupling paradigm of SOA by separating the discovery from the composition of Web services. Some parts of AIMO architecture have been tested on a case study, and the preliminary results demonstrate that AIMO provides an applicable solution |
format |
Article |
author |
Tabatabaei, Sayed Gholam Hassan Wan Kadir, Wan M. N. Ibrahim, Suhaimi |
author_facet |
Tabatabaei, Sayed Gholam Hassan Wan Kadir, Wan M. N. Ibrahim, Suhaimi |
author_sort |
Tabatabaei, Sayed Gholam Hassan |
title |
AIMO: an effective approach to support semantic web service discovery and composition |
title_short |
AIMO: an effective approach to support semantic web service discovery and composition |
title_full |
AIMO: an effective approach to support semantic web service discovery and composition |
title_fullStr |
AIMO: an effective approach to support semantic web service discovery and composition |
title_full_unstemmed |
AIMO: an effective approach to support semantic web service discovery and composition |
title_sort |
aimo: an effective approach to support semantic web service discovery and composition |
publisher |
Global Information Publisher (H.K) Co., Ltd. |
publishDate |
2009 |
url |
http://eprints.utm.my/id/eprint/11823/ http://www.gip.hk/ijcs/V3N2/Abstract/V3-n2-ab2.pdf |
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13.211869 |