实验结果表明：在概率潜在语义检索模型中，词的正确切分能提高检索的平均精度。
Experimental results indicate that accurate segmentation can improve the effectiveness of retrieval based on PLSA.
本文在系统地研究语义检索和个性化学习的基础上，提出了一种基于本体的个性化学习资源语义检索模型。
In this paper, based on a systematic study of semantic retrieval and personalized learning, a personalized learning resource retrieval models based on semantic have been proposed.
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。
Application of this model to document retrieval is discussed which includes two aspects: navigating browse and criteria query based on semantic similarity calculation.
提出了一种基于本体语义模型的信息检索方法。
A methodology is presented to retrieve information based on semantic ontology model.
该系统利用了一个多级图像描述模型将语义特征结合到图像检索技术中。
In this paper, a novel system for content-based image retrieval is designed and created, which combines image semantics based on a multi-level model for image description.
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。
This model retrieves information on semantic using natural language processing technique so as to overcome the shortcoming of traditional retrieval methods and enhance efficiency.
结果建立了一种五元组的语义信息检索模型，并给出了该模型的关键实现算法。
Results Model of semantic information search based on five-element-array is built, and realization arithmetic is given.
提出一个基于二元语义的信息检索模型。
This paper proposes, a 2-tuple linguistic model of information retrieval.
实验结果表明，该模型能够进行本体的语义推理，在一定程度上增强信息检索系统的语义处理能力，检索效率得到了改善。
The model can carry out the ontology reasoning. And the experimental results show that information retrieval efficiency to a certain extent is improved.
本文提出了两个新的图上关键字搜索算法，使用了现代信息检索技术中的向量空间模型和随机游走模型来解决以上缺陷，使得查询结果更具语义信息。
In this paper, two novel algorithms are introduced, which employ the vector space model and random walk model to address the drawbacks above and make the results more semantical.
新模型合理地考虑了术语关系，实现了基于语义概念的检索。
Research into information retrieval based on the combination of keyword and semantic concept;
新模型合理地考虑了术语关系，实现了基于语义概念的检索。
Research into information retrieval based on the combination of keyword and semantic concept;
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