摘要: As the competition of Web Search market increases, there is a high demand for accurately judging the relations between the web pages and the user's requirement. In this paper, we propose an information retrieval method that tightl... 展开 As the competition of Web Search market increases, there is a high demand for accurately judging the relations between the web pages and the user's requirement. In this paper, we propose an information retrieval method that tightly integrates description logic reasoning and traditional information retrieval technique. The method expresses the user's search intention by description logic to infer the user's search object, and selects high-quality keywords according to the semantic context of the search object. Further, fuzzy describing logic is introduced to confirm the relations between the web pages and the user's search requirement, and the method to calculate the membership degree of web pages w.r.t the search requirement is presented. A prototype is implemented and evaluated, and the results show large improvements over existing methods. 收起