The concept lattice is an effective tool for data analysis and rule extraction, but as to the big formal context, some useful information may be submerged by the complex structure of the lattice.

概念格是数据处理和规则提取的重要工具。对于数据较大的形式背景，由于产生的概念格结构复杂，部分有用的信息将被这种复杂的结构所掩没。

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Finally, an example analysis is done to prove the feasibility of concept lattice-based semantic structure matching model with the formal context through the attribute extraction.

最后通过实例进行分析，通过属性抽取算法提炼出形式背景，并验证基于概念格的语义匹配模型的有效性。

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Finally, an example analysis is done to prove the feasibility of concept lattice-based semantic structure matching model with the formal context through the attribute extraction.

最后通过实例进行分析，通过属性抽取算法提炼出形式背景，并验证基于概念格的语义匹配模型的有效性。

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