Abstract
The aim of this study is to present a novel approach which uses the belief net to intelligently infer the best and most relevant web service based on the available Quality of service parameters. Service Oriented Architecture (SOA) is the discovery of relevant Web Services for a specified task is a one of the key challenges. As Web services proliferate, there is a possibility of existing more than one service with same functionalities consequently; most of service discovery method will return several services which meet user given input and output. Finding the mainly relevant and best service is very crucial for the service consumers. In this situation, the non-functional Quality of Service (QoS) parameters present in the service description provided by the service provider play a major responsibility.
Highlights
Web Services become indispensible and become a promising technology for the development of new Internet based e-trading systems
A pervasive book purchasing application can be possibly converted into a Web Service
The heterogeneity of services is an obstacle for the service discovery and integration and on the other hand, Web Service Description Language (WSDL) description is purely syntactic; UDDI is able to feature only keyword-based matches that often lead to the discovery of more irrelevant services than relevant services
Summary
Web Services become indispensible and become a promising technology for the development of new Internet based e-trading systems. A pervasive book purchasing application can be possibly converted into a Web Service. There exists a large number of books purchasing services with similar functionalities and become a major problem for the discovery of relevant one. Web services do not have homogeneous structure and heterogeneity arises from different ways to name parameters and describe their processing. The heterogeneity of services is an obstacle for the service discovery and integration and on the other hand, WSDL description is purely syntactic; UDDI is able to feature only keyword-based matches that often lead to the discovery of more irrelevant services than relevant services
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