Web Services are mounting as an inventive mechanism for rendering services to subjective devices over the WWW. As a consequence of the rapid growth of Web Services applications and the plenty of Service Providers, the consumer is facing with the inevitability of selecting the “right” Service Provider. In such a scenario the Quality of Service (QoS) serves as a target to differentiate Service Providers. To select the best Web Services / Service Providers, Ranking and Optimization of Web Service Compositions are challenging areas of research with significant implications for the realization of the “Web of Services” revelation. The “Semantic Web Services” use formal semantic descriptions of Web Service functionality and interface to enable automated reasoning over Web Service Compositions. This study from its experimental results revealed that the existing Semantic Web Services faces a few challenging issues such as poor prediction of best Web Services and optimized Service Providers, which leads to QoS degradation of Semantic Web. To address and overcome these identified issues, this research work is calculating the semantic similarities, utilization of various Web Services and Service Providers. After measuring these parameters, all the Web Services are ranked based on their Utilization. Finally, our proposed technique, selected best Web Services based on their ranking and placed in Web Services Composition. From the experimental results, it is established that our proposed mechanism improves the performance of Semantic Web in terms of Execution Time, Processor Utilization and Memory Management.