Visualization of Real-World Web Services Based on Fuzzy Logic

This paper investigates techniques for supporting individual users in choosing appropriate Web services according to their specific needs, and accessing their favorite Web services. It also examines the provision of visualization of Web services that can be made available to service consumers as well as service providers who promote their Web services. To achieve these goals, we propose a three-layer architecture: a data layer for handling measurements of quality attribute of Web services; a Web service middleware processing layer, which computes quality attribute weights for ranking Web services; and finally, a visualization layer for monitoring the quality of Web services. The proposed architecture is implemented and tested on real world Web services drawn from the QWS database of Web services. Our Web services visualization technique is more convenient and user-friendly compared to current basic text based Web services discovery techniques.