An Improved Web Service Recommendation and Consumption Approach

This work proposes an improved Web Service (WS) recommendation and consumption architecture in which the functional and nonfunctional requirements together with social network features are taken into consideration during the service recommendation and consumption. The proposed architecture concludes a database to handle with modified WSDL storage, a mechanism to improve the recommendation and consumption via social networking principles which is the added information for optimizing the QoS. It is able to take advantage of old users experience as WS quality information to provide other users better trustworthy and more appropriate WS via an independent XML file which contains not only the initial WSDL published by the service provider but also the quality of service (QoS) information of the WS come from widely users´ experience. A recommendation module is also presented that delivers the WS that maximizes the value of QoS characteristics among others with the same functionality or name. An experimental prototype is presented.