Universiti Teknologi Malaysia Institutional Repository

A semantic web-servicediscovery and composition based on AI planning and web service modelling ontology

Wan Kadir, Wan Mohd. Nasir (2008) A semantic web-servicediscovery and composition based on AI planning and web service modelling ontology. In: 10th @WAS International Confererence on Information Integration and Web-based Applications & Services (iiWAS2008), 2008, Linz, Austria.

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Official URL: http://dx.doi.org/10.4028/10.1109/APSCC.2008.126

Abstract

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 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 paper, 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. Moreover, 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. Finally, a simple case study is designed to test some components of AIMO. The preliminary results of the test demonstrate that our approach provides an applicable solution.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:AI planning, WSMO, web service composition, web service discovery
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:19760
Deposited By: Liza Porijo
Last Modified:15 Dec 2011 07:53

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