关键词: 敏感信息, 检测, 兴趣本体, 概念相似, 查询扩展

Abstract: With the development of computer technology and Internet, more and more office hosts have been connected to Internet, the threat of sensitive information leakage becomes serious. Therefore, it is extremely necessary to detect whether documents contain sensitive information. In order to solve the low precision and low recall problems caused by the traditional query expansion retrieval methods, this paper built an ontology of sensitive information for users interest, proposed a concept similarity query expansion algorithm based on the interest ontology, and described an experimental case to verify the feasibility of algorithm. The experimental results show that the proposed algorithm can improve the precision and recall of the traditional methods.

Key words: sensitive information, retrieval, interest ontology, concept similarity, query expansion