In last decade of computing, a growing popularity for semantic cache schemes has been observed. Nu merous techniques have been proposed for improved performance of semantic cache. Semantic cache is aimed towards reducing the network traffic load with the ab ility to address some queries without contacting the server. Semantic cache overcomes the limitat ions of previous page-caching and tuple-cache techniques. A prime concern of semantic cache includes query processing (query response-time) and cache management. The efficiency of semantic cache can be improved by using semantic indexing sachems. Semantic indexing sachems are segment based and hierarchical semantic indexing scheme. Both these sachems can improve the efficiency of query processing and cache management. In this paper, we have performed the evaluation of index schemes for Semantic Cache through the experimental study. Evaluations of these schemes are available in literature but experimental study is not available. Through this experiment, we have highlighted which technique is most suited in what kind of scenario. Amir Qayyum: received his Bachelors in Electrical Engineering fro m U.E.T., Lahore, Pakistan in 1991,then M.S. in Co mputer Engineering fro m E.S.I.M., France in 1995, then D.E.A. fro m University of Paris -Sud, France in 1996 and then Doctorate fro m Un iversity of Paris -Sud, France in 2000. He is currently a professor at M. A. Jinnah University, Islamabad and also the head of the Center of Research in Networks and Teleco mmunication (Co ReNeT). His current research interests include mobility management framework for mobile devices, Qo S and scalable mult icast in IPv6 networks, MANETs and VANETs, VoIP and network security. Currently he is Dean of Faculty of Engineering at Mohammad Ali Jinnah University Islamabad Pakistan How to cite this paper: