The Design And Implementation Of Personalized WEB Information Retrieval System Based On Ontology

Massive Web information sources organizational structure is heterogeneous, pluralistic and distribution. It is a huge challenge to information retrieval system. The retrieval method is being widely used in SE (Search Engines) field by using Quick Search. SE has become an important tool for Web information retrieval. In current, we have no choice of SE to show what kind of content, what kind of search results listed. Imported after Keywords, lack of personalized led to there will be thousands of information available to users, or rely on the feedback, which has been in the position, Or return to the system that is too much information. More than acceptable and the user's ability to handle. This is commonly encountered by people in the information retrieval problem of information overload. Personality characteristics fit user's search strategy. Second, the existing level of the keyword-based information retrieval to the knowledge-based (Concept) information retrieval level. Users to reduce the level of knowledge and understanding of the capabilities and limitations of the return of inaccurate information.Can be a two-pronged approach to solve this problem:One is to establish a Personalized Information Service. According to the user's knowledge background, hobbies and historical operation.By combining ontology and Personalized Search Engine Technology, Based on existing search engines, Using Ontology tools, A content-based retrieval system Personalized Web design, Metric inquiries through word meaning users, Effective expansion of the user's query words, Personalized Metrics user demand, Measuring user satisfaction with the terms of the extension and the results of inquiries into a series of mathematical models personalized scheduling. Analysis of user's personal interests:the retrieval and integration of information and personalized content filtering layer concept Ranking. Design of a personalized WEB Information Retrieval System Based on Ontology. Better services for users with Personalized Intelligent Information Retrieval.