Automatic discovery and composition of semantic web services using AI planning and web service modeling ontology

In order to realize Service Oriented Architecture computing, Web services are the preferred standards-based way. One of the recent critical issues is automated composition of Web services. A number of approaches have been proposed to resolve the problem. However, discovery and composition of Web ser...

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Main Authors: Tabatabaei, Sayed Gholam Hassan, Wan Kadir, Wan Mohd. Nasir, Ibrahim, Suhaimi
Format: Article
Published: Web Services Research Foundation 2009
Subjects:
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author Tabatabaei, Sayed Gholam Hassan
Wan Kadir, Wan Mohd. Nasir
Ibrahim, Suhaimi
author_facet Tabatabaei, Sayed Gholam Hassan
Wan Kadir, Wan Mohd. Nasir
Ibrahim, Suhaimi
author_sort Tabatabaei, Sayed Gholam Hassan
collection ePrints
description In order to realize Service Oriented Architecture computing, Web services are the preferred standards-based way. One of the recent critical issues is automated composition of Web services. A number of approaches have been proposed to resolve the problem. However, discovery and composition of Web services have been neglected by majority of those approaches. In this article, we propose an approach called AIMO, based on AI-planning and Web Service Modeling Ontology (WSMO), which are adapted and extended to tackle the mentioned problem. In addition, we propose a translator to provide interaction between WSMO and AI-planning. We start with presenting the AIMO architecture which shows all components of the proposed approach. Moreover, we have implemented some parts of the AIMO. Finally, an experimental validation has been done using a complex case study, in order to evaluate the efficiency and effectiveness of the proposed approach. Based on these experiments, and the implementation, the proposed approach is useable and performed.
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spelling utm.eprints-189732018-03-15T01:18:43Z http://eprints.utm.my/18973/ Automatic discovery and composition of semantic web services using AI planning and web service modeling ontology Tabatabaei, Sayed Gholam Hassan Wan Kadir, Wan Mohd. Nasir Ibrahim, Suhaimi Q Science (General) QA75 Electronic computers. Computer science In order to realize Service Oriented Architecture computing, Web services are the preferred standards-based way. One of the recent critical issues is automated composition of Web services. A number of approaches have been proposed to resolve the problem. However, discovery and composition of Web services have been neglected by majority of those approaches. In this article, we propose an approach called AIMO, based on AI-planning and Web Service Modeling Ontology (WSMO), which are adapted and extended to tackle the mentioned problem. In addition, we propose a translator to provide interaction between WSMO and AI-planning. We start with presenting the AIMO architecture which shows all components of the proposed approach. Moreover, we have implemented some parts of the AIMO. Finally, an experimental validation has been done using a complex case study, in order to evaluate the efficiency and effectiveness of the proposed approach. Based on these experiments, and the implementation, the proposed approach is useable and performed. Web Services Research Foundation 2009 Article PeerReviewed Tabatabaei, Sayed Gholam Hassan and Wan Kadir, Wan Mohd. Nasir and Ibrahim, Suhaimi (2009) Automatic discovery and composition of semantic web services using AI planning and web service modeling ontology. International Journal of Web Services Practices, 4 (1). pp. 1-10. ISSN 1738-6535 https://kulslide.com/download/automatic-discovery-and-composition-of-semantic-web-services-using-ai-planning-and-web-service-modeling-ontology-_59fe6e1cd64ab2f10506dbce_pdf
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
Tabatabaei, Sayed Gholam Hassan
Wan Kadir, Wan Mohd. Nasir
Ibrahim, Suhaimi
Automatic discovery and composition of semantic web services using AI planning and web service modeling ontology
title Automatic discovery and composition of semantic web services using AI planning and web service modeling ontology
title_full Automatic discovery and composition of semantic web services using AI planning and web service modeling ontology
title_fullStr Automatic discovery and composition of semantic web services using AI planning and web service modeling ontology
title_full_unstemmed Automatic discovery and composition of semantic web services using AI planning and web service modeling ontology
title_short Automatic discovery and composition of semantic web services using AI planning and web service modeling ontology
title_sort automatic discovery and composition of semantic web services using ai planning and web service modeling ontology
topic Q Science (General)
QA75 Electronic computers. Computer science
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