A query refinement scheme, which synthesizes the synonymic relation and the semantic association, is presented.
提出了一种综合词法关系和语义分析的查询优化方法。
And semantic association, logic thinking and memory are the effective ways to realize the discourse understanding.
而语义联想、逻辑思维和记忆能力是实现语篇理解的有效方法。
Semantic association is defined as the representation of rich knowledge about binary relation in semantic data model.
语义关联是语义数据模型中实体之间二维关系的知识表示形式。
Semantic association Discovery is to infer out further associations based on existing semantic associations by inventing algorithm.
语义关联发现基于现有的语义关联，使用算法推导出更深层次的语义关系。
They are characterized with systematization and generalization, which result from their semantic association and their formative analogy.
它们以扩散性的联想意义为联结而进行语义泛化或结构类推成词，并具有系统性、对举性、概括性特征。
A probability model based on Bayesian principles is given to measure the semantic association from a concept to its direct-related concept in domain ontology.
根据贝叶斯定理提出一种衡量领域本体中概念间语义相关度的概率模型。
Combined with the semantic association strategies training in daily teaching, the study aims to make students construct the strategies for vocabulary learning.
通过对英语词汇学习联想机制的论述，运用定量分析方法对联想策略在英语词汇直接学习中的效果作实验研究。
Mining association rules with ontological information bases on built domain ontology, using an algorithm of data mining, to produce semantic association rules which are more greatly satisfying users.
基于本体的关联规则挖掘，是利用构建好的领域本体，结合数据挖掘算法，产生出具有语义的更符合用户需求的关联规则。
In order to get the semantic correlation of images, two learning methods based-on mutual information and image association factor, are proposed.
提出了基于互信息的图像间语义关系学习方法和基于图像关联因子的图像间语义关系学习方法。
The results indicated that semantic distance in terms of commonsense relations between words is useful to predict the performance of the free association test.
结果表明，以两词间所保持的常识关系来定义的语义距离，对预测自由联想的作业是有效的。
The second part is a theoretical part, it explains the content of the association, the relationship with related semantic meaning and relevant theories.
第二部分为理论部分，阐释社团的内涵，与相关语义的关系以及有关理论。
An inter-concepts association and dependency multilabel video semantic concept classification approach is proposed in this paper.
为此提出一种概念间关联依赖多标记视频语义概念分类方法。
The proficiency level of the target language have little effect on the association model of Japanese Kana and Chinese Hanzi, and the semantic mediation model is preferred;
目的语熟练程度对日文假名和中文汉字的联结模式不产生影响，都倾向于语义中介模式；
The proficiency level of the target language have little effect on the association model of Japanese Kana and Chinese Hanzi, and the semantic mediation model is preferred;
目的语熟练程度对日文假名和中文汉字的联结模式不产生影响，都倾向于语义中介模式；
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