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。
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。
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。
To enhance recall ratio and precision ratio of information retrieval, the paper designs the model of spam filtering based on semantic grid.
本文以增强语义信息，提高搜索的查全率和查准率为目标，设计了基于语义网格的垃圾邮件过滤模块。
The Research on Latent Semantic Markov Network Retrieval Model;
语义链网络是基于语义链的语义网模型。
The Research on Latent Semantic Markov Network Retrieval Model;
语义链网络是基于语义链的语义网模型。
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