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.
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