Proposing an Effective Approach Based on Input-Output, Pre-condition and Requested Service Parameters, for Detecting Semantic Web Services

Web service is a comprehensive and autonomous application which can be defined, published, called and established in the network, especially in web. A source can be a software parameter or a machine process. The service is a basic concept in the new generation of internet, that?s why it is called internet services in some contexts. The verity of this phenomenon is cloud computing in which, software and super structure is offered in service format. Service technology is one of the modern approaches of internet services in e - commerce that is paid attention by many researchers. After appearing service-oriented architecture, web services gained popularity. Due to existence of web services, finding a web service according to users? demands is a huge challenge. This needs to establish an efficient and reliable process of discovering a web service. Nowadays many researchers design techniques, in order to enhance the accuracy of Web service discovery which will be implemented best services. The results of process for discovering service, is for services to extend the satisfactory of user. Considering of semantic relations among the used words in describing the service, input and output parameters can be detected accurately. In addition to input and output parameters, other parameters services are described, which by using them, it can, enhance the accuracy of web service discovery. These parameters are known effect and post modality. The Proposed method is used for comparing the other methods such as Traditional information retrieval method and it is used for matching input and output. For configuration this approach we used Macro-Average, SWRL and OWL-S software and tools.