摘要
为了提高信息检索的查全率和查准率,经常要处理相似的概念,因此计算概念间的相似度是必要的。概念由对象和属性两部分组成,所以基于概念格相似度计算的也分为两部分:一是利用概念格的层次关系计算对象的相似度,另一部分计算属性的相似度。其次,概念间的相似度与概念在概念格中的深度有关,计算时利用深度对结果加以修正。计算模型利用了概念较为完整的信息,计算结果与人工判断基本吻合。
In order to improve the recall and precision, similar concepts are often processed during the information retrieval. With this regard, the possibility of evaluating concept similarity is acquiring an increasing relevance, since it allows the identification of different concepts that are semantically close. For every concept consist of two parts which include objects and attributes, so the computing model also has two parts. First part deals with the objects similarity by using hierarchy structure of concept lattice. The second part deals with the attributes similarity by using the expert＇s knowledge. Beside this, the depth also has relevance with concepts similarity. So the result is altered with concepts＇ depth. This model uses concept＇s integral information, and the result fits the judge given by expert.
出处
《计算机科学》
CSCD
北大核心
2008年第9期156-157,167,共3页
Computer Science
基金
国家自然科学基金(项目批准号60575035)
关键词
概念格
概念相似度
对象
属性
深度
Concept lattice, Concept similarity,Object, Attribute, Depth
