除了普通的建模规则与可评价的概念，方法必须基于中央的分类以及模型架构的知识。
Besides common modeling rules and a scalable notation, the approach must be based on a central taxonomy and knowledge of modular architecture.
在上述研究工作的基础上，实现了基于多扩展概念格的分类知识发现原型系统。
Based on the work stated above, a prototype system that can utilize multi-extending concept lattice classification knowledge discovery in database is implemented.
在用户建模中，采用用户属性对模板进行分类和匹配，并且基于领域知识体系结构定义模板的内容。
In user modeling, model stereotypes were classified and matched according to user properties and template contents would be defined based on domain knowledge architecture.
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