SIR can significantly enhance the recall and precision of the information retrieval by the semantic inference. Finally, the practicability of the SIR model is analyzed.

最后分析了SIR的可用性，证明了SIR可极大地提高语义网上信息检索的查全率和查准率。

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Application of this model to document retrieval is discussed which includes two aspects: navigating browse and criteria query based on semantic similarity calculation.

对模型在文献检索中的应用进行了初步探讨，包括两方面：导航浏览和基于语义相似度计算的条件查询。

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This model retrieves information on semantic using natural language processing technique so as to overcome the shortcoming of traditional retrieval methods and enhance efficiency.

该模型利用自然语言处理技术，在语义层次上进行查询和检索，克服了传统检索方法的不足，提高了查全率与查准率。

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