我们过滤掉重复的内容、对数据进行结构化改造，变成统一的对象模型然后使用我们的自然语言处理程序SiLCC，提取关键字和打上标签。

We filter out duplicate content, structure data into a unified object model, and then use our natural language processing program, SiLCC, to extract keywords and apply them as tags.

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全面的合并，合理化，清晰化各种不同的模型概念: 从而导致一种单一化，更加统一化语言的产生。

Overall consolidation, rationalization, and clarifications of various modeling concepts: This resulted in a simplified and more consistent language.

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