关键词: 文本知识, 数据挖掘, 多值上下文, 形式概念, 概念格, 结构联通

Abstract: Text knowledge mining plays a very important role in data mining.In the paper，we mainly discuss how to extract concept lattices from different texts without using conceptual scaling and to analyze the structural connections among concept lattices.Our method consists of two parts：one is to transform the objects described in texts into many-valued contexts，and the other is to analyze some operations such as addition，deletion and product and the connections among concept lattices such as order-embedding map.We obtain some important propositions，which can be used by knowledge engineers to analyze text knowledge and to further extract associate rules from concept lattices.

Key words: text knowledge, data mining, many-valued contexts, formal concepts, concept lattices, structural connections