A study on scalable information matching system based on web service information

As for search methods of web service, services are selected and utilized using a variety of search techniques. However, differentiation methods as to services become even more necessary since service quality is increasingly having a direct impact on the use of web service with the generation of various web services and an increase in the use of services. Currently, they state only with the description of web service rather than the quality property information in the form of web service and they also have the disadvantage of having the connection that includes inaccurate information. Thus, the purpose of this study is to propose the decision process in terms of web service function and user at an actual level using the conventional methods and service Scalable information in order to subsequently propose service selection broker so that an optimal web service can be selected when selecting a web service. It is to generate scalable matching information by extracting a variety of information provided by web service providers. Therefore, it is to make sure that an appropriate web service for users would be selected through the service selection in consideration with functional aspects and the scalable information matching proposed directly by users based on the Scalable information provided by utilizing the scalable information matching system proposed by this study. In addition, it is to compare and evaluate the proposed system and the existing study systems by utilizing accuracy and recall factor as the evaluation indices as to web service search.