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Web navigation has been the key issue for information retrieval in e-commerce. Information caching is critical for navigation subject to resource constraints and performance requirement. The research on caching originates from data access to computer memory, to database (e.g. multimedia database), to client/server architecture, and recently to Web navigation. The information access for caching normally is assumed the fixed size of data unit. In this research, we first generalize caching problem for Web navigation by considering information structures. The caching criteria also takes into account Web structure, data usage, and navigation patterns. The preliminary result shows the proposed dynamic caching approach, New Semantics-Based Algorithm (NSA), outperforms the common caching functions and can be applied to broader application domains. Some implications and future directions are discussed in the conclusion.