提出了一个基于概念向量空间模型的电子邮件分类方法。
A new approach of email classification based on the concept vector space model was proposed.
开发了一个基于概念向量空间模型的中文自动文摘系统。
We Construct a system of Chinese automatic summarization based on conceptual vector space model.
本文在向量空间模型和概率推理网络的基础上提出了一个基于关键词与概念相结合的混合信息检索模型。
We bring forward a hybrid model that is based on a combination of keywords and concept. The hybrid model is built on vector space model and probabilistic reasoning network.
该方法通过分析文档的特征词汇，使用基于领域本体的空间向量模型方法建立词汇与本体概念之间的映射。
The documents characteristic vocabulary is analyzed and the mapping between vocabulary and the ontology concept is built based on the domain ontology VSM m.
该文在对传统的多维数据模型进行综合分析的基础之上，利用了包括空间概念的层次分类结构、空间多维向量等工具来表示模型。
This paper based the analysis of the traditional multi-dimensional data model, used the tools include arrangement structure in space, multi-dimensional in space to express the model.
该文在对传统的多维数据模型进行综合分析的基础之上，利用了包括空间概念的层次分类结构、空间多维向量等工具来表示模型。
This paper based the analysis of the traditional multi-dimensional data model, used the tools include arrangement structure in space, multi-dimensional in space to express the model.
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