An intelligent control model for using context richly

Current content adaptation systems make only limited use of the user context. In this paper, the user context is analyzed in detail and semantic divergence is found as a hamper of making use of context. Aiming at handling these problems, an intelligent control model using semantic web techniques is proposed, some implementation details and examples are discussed as well. Under the favor of model, the context is clear for adaptation, which makes adaptation more personalized and more precise.