摘要
本文针对传统的专业知识检索方法中存在的问题,在本体和信息论的基础上提出了加权互信息的概念,并在检索过程中运用信息论方法来计算检索条件和候选知识之间的相似程度,从而大大提高检索的查准率和查全率。
In order to resolve the problem existing in traditional professional knowledge retrieval method, the paper puts forward the concept of weighted mutual information based on ontology and information theory, and calculates similarity between retrieval condition and candidate knowledge by information theoretic technique during retrieval process. By these means, the precision and recall of retrieval is greatly promoted.
出处
《情报学报》
CSSCI
北大核心
2006年第5期559-563,共5页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金(70371035)
江苏省科技创新服务体系项目(BM2003335).
关键词
本体
互信息
知识检索
相似度
ontology, mutual information, knowledge retrieval, similarity.