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...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/29268/5/SayedGholamHassanPFSKSM2010.pdf |
| _version_ | 1796856523014537216 |
|---|---|
| author | Tabatabaei, Sayed Gholam Hassan |
| author_facet | Tabatabaei, Sayed Gholam Hassan |
| author_sort | Tabatabaei, Sayed Gholam Hassan |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T18:44:18Z |
| format | Thesis |
| id | utm.eprints-29268 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:44:18Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | utm.eprints-292682017-09-13T07:13:27Z http://eprints.utm.my/29268/ Discovery and composition of web services using artificial intelligence planning and web service modeling ontology 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 NonPeerReviewed application/pdf en http://eprints.utm.my/29268/5/SayedGholamHassanPFSKSM2010.pdf Tabatabaei, Sayed Gholam Hassan (2010) Discovery and composition of web services using artificial intelligence planning and web service modeling ontology. PhD thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems. |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/29268/5/SayedGholamHassanPFSKSM2010.pdf |
| work_keys_str_mv | AT tabatabaeisayedgholamhassan discoveryandcompositionofwebservicesusingartificialintelligenceplanningandwebservicemodelingontology |