rdf模型有很多不同的序列化方式，专门针对主题定义和分类的dita图可以当作SKOS模型的一种序列化方式。

Variant serializations of RDF models are legion, and a DITA map that's specialized for subject definition and classification could be regarded as an alternative serialization of a SKOS model.

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不过基于16s rRNA序列的分类树却对医学的贡献越来越大，主要体现在两个方面。

However, 16s rRNA-based phylogenetic trees are increasingly leading to advances in medicine, primarily in two ways.

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本文对时间序列模式、分类规则和关联规则挖掘的方法进行了深入的研究。

In this thesis, the thorough study of time serial model, classification rule and association rule is made.

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