专利信息是当前知识经济时代最重要的战略资源之一。然而,传统的基于关键词的专利信息简单布尔检索所得的检索结果较粗糙不能满足专利分析人员的要求。本研究结合了局部分析法和领域本体的概念对初始检索表达式进行检索扩展,使得扩展后的检索表达式更加准确、全面地满足用户检索要求,以提高专利信息检索的效率。通过实验表明,该方法能在保障查准率的基础上有效提高检索的查全率和F指标。 Patent information is one of the most important strategic resources in the era of knowledge economy. However, the traditional search results of simple Boolean search based on keyword-based patent information can not meet the requirements of patent analysts. This study combines the concept of local analytic method and domain ontology to search and expand the original retrieval expression so that the expanded retrieval expression can meet the user retrieval requirements more accurately and comprehensively so as to improve the efficiency of patent information retrieval. Experiments show that this method can effectively improve the search recall rate and F index on the basis of ensuring accuracy rate.