For this purpose it uses text mining to analyze Web pages and identify their key semantic concepts.

从这个出发点来看，它使用的是文本挖掘，试图分析网页并鉴定他们关键的语义概念。

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This architecture aligns with W3C web standards for the semantic web, and allows much more flexible searching and data mining than would be possible with a MARC record.

这个结构和W3C的语义网网络标准相吻合，而且相比MARC数据，它能够进行更加灵活的搜索和数据收割。

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Linked data, semantic analysis, analytics and data mining all form a layer on top of the content-web that could serve as the foundation for the next series of applications and other added value.

关联数据、语义分析、分析数据挖掘，这些都可以作为下一代网络产品和其它附加值的基础。

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