Optimization of Semantic Caching for XML Database

The availability of information on the Internet has increased exponentially the Internet users in the last few years. This made the web servers overloaded. Semantic caches store the semantics and results of the previously asked queries close to the users, in order to answer new queries. The caching reduces the burden of the web servers and optimizes their performance. This paper presents the SMOCE Cache, a framework for semantic caching of XML database. Specialized techniques such as indexing and broadening of semantic regions are proposed for the optimization of semantic caching. The evaluation of prototype proved the significance of proposed techniques.