摘要：近些年来，随着计算机的普及和信息技术的快速发展，导致人们对网络信息资源的需求持续升温，因此获取信息的方式越来越重要。传统的信息检索主要提供给用户的主要是基于关键字的检索接口，但在信息的查全率和查准率上不高，无法满足用户的需求。因此，如何帮用户实现具有高效率的信息检索的智能搜索系统，已经成为当下研究的重要问题。
传统的搜索引擎使用的是基于关键字的词汇层次上的信息检索，这种方法并不能处理用户的真实语义，导致当前的搜索引擎的召回率和准确率不能令人满意。本论文研究了目前语义WEB搜索的主流技术，确定了基本的原型框架的实现方法，研究了基于本体的语义搜索框架的建立过程，并尝试模拟从语义上处理用户的搜索请求的过程，基本完成了基于本体的语义智能搜索的前期研究工作。
关键词：本体 信息检索 语义 框架
Abstract:At present,with the rapid of development of information technology,it causes the continued increase of people's demand of the information for the network,so the way to obtaining information becomes very important.The traditional tools of information retrieval can only offer imports based on key words,but the recall and precision information retrieval is not high,which is unable to meet the needs of users.
Traditional search engines use the information retrieval based on the keyword vocabulary level, this method can not handle the user's real semantics, leading to the recall and accuracy of the current search engines is not satisfactory. In this thesis, the current mainstream technology of the Semantic Web search to determine the basic prototype implementation of the framework, the process of establishing the framework of ontology-based semantic search, and try to simulate the user's search request from the semantic processing process, and basically complete a preliminary study of the semantic intelligent search.
Key Words：ontology information retrieval semantics
