中文摘要：

针对当前的概念检索模型存在没有语义特征的词典和缺乏知识库层面上的推理机制等问题,采用具有很强的表达能力和可判定推理功能的描述逻辑来实现概念的扩展检索。设计了一个基于描述逻辑的概念检索模型,并对其核心的推理算法作了进一步扩展,给出了相应算法的数学定义及其知识库的逻辑描述,并据此采用Jena和Racer推理引擎实现了一个基于描述逻辑的汽车导购的概念检索系统,可向用户提供有关汽车的分类、性能、报价等信息。实验结果表明：基于描述逻辑的概念检索模型实现了有效的隐含语义的检索,并通过关联概念联想实现了良好的用户启发和信息导航。

英文摘要：

There are no semantics dictionary and no semantics reason engine in current concept retrieval model. Therefore, a description logic is proposed for concept retrieval, which has strong description and decidable reasoning. The mathematical definition of the algorithms and description of knowledge base are presented in this paper. On the basis of previous work, a description logic-based concept retrieval system of car sale is implemented. The case study demonstrates that the system based on description logic achieves an effective semantics reasoning on knowledge base and navigation for users.