Proper

Abstract

Nowadays the modern business service needs highly quality of service, for the part of Web service selection need higher effectiveness and accuracy, then the companies will have more advantages in the fierce business competition and through the accurate and effective Web services recommendation gain more profit. This article through to the WSDL element extension to limit the Web service response time, then use its response time as the variables of Bayesian network to create a new Bayesian network, in Bayesian network the response time is used to filter the user service requests and ensured the user's service request can quickly be response in time. Finally by analyzing the using time to divide the time sheets and add the time sheet as another variable of Bayesian network to reconstruct the new dynamic Bayesian networks, which the service selection will more accurate and more fast. It can ensure the accuracy and effectiveness of Web service selection. The experimental results show that the Web services based on extended WSDL can improve the effective and accuracy of Web services selection.