关键词: 形式背景, 概念格, 面向对象概念格, 相似度, 邻居

Abstract: Concept lattice theory is a powerful tool for processing and analysis of knowledge, knowledge discovery and data mining, and other important applications. A new method of similarity calculation of concepts is introduced. Objects and properties are both used to determine the similarity of concepts, generate the concept neighborhood and control its size according to the similarity degree of concepts. And then, it removes unnecessary nodes, to control the number of nodes in the object-oriented concepts, realization of object-oriented concepts simplify the compression and the knowledge base. The examples show that the compressing of object-oriented concept lattice is more effect when parameter values are smaller.

Key words: formal context, concept lattice, object-oriented concept lattice, similarity degree, neighborhood