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Traditional information retrieval systems lack a uniform semantic description for information, so it is hard for users to find more relevant information and to realize the semantic share in information resource. There are many challenging tasks for information retrieval, such as how to make the managed resource have a machine understandable meaning so as to find what users really need and how to realize the semantic searching by means of the domain knowledge. A framework of intelligent retrieve based on semantic Web is proposed in this paper through researching the Semantic Web and analyzing the feature of traditional retrievals in Web. The design idea and process of the intelligent information retrieval system in detail are also described. It is provided in this framework that the unique identifier for every resource on World Wide Web and various types of links among resources which can be handled by computers. The retrieval system is intelligent and humanistic, which can not only improve the recall rate and precision rate, but also allows users to search information with natural language, so it provides more convenient and more accurate search service for users.