The semantic data store corresponds to the semantic representation of application data.
语义数据存储对应的是应用程序数据的语义表示。
This paper presents a semantic representation approach based on term connection samples.
笔者提出一种基于词联接实例的语义表示方法。
The issue of semantic representation of bilinguals is the focus of bilingual cognition research.
双语者的语义表征问题是双语认知研究的焦点问题。
The semantic representation of bilingual mental lexicon is becoming an important area of inquiry.
双语者心理词汇的语义表征正逐渐成为研究的重要领域。
The application can use a semantic representation of the data to make inferences on the user at appropriate times.
应用程序可以使用数据的语义表示来在相应的时间对用户作出推测。
This provides supporting evidence for the hierarchical network model of semantic representation of metaphors.
这为隐喻的语义表征的层次网络模型提供了证据。
Functional dependency is an important semantic representation both in relational databases and XML documents.
函数依赖对关系数据库和XML文档都是一种重要的语义表达。
The key to content based text filtering consists in constructing the semantic representation of users' profile.
基于内容的文本过滤关键在于建立语义层次上的用户模板。
Thus research on Chinese-English bilingual semantic representation may provide useful information about linguistic universals.
因此，汉英双语者的语义表征研究可以为语言普遍性提供有用信息。
This paper analyses the constitution, semantic representation and usage of middle constructions, which are divided into some sub-structures.
文章分析了自然语言中中动句式的构成、表义及使用情况，把中动句分为几个下位句式。
The dissertation also presents the discussion of the existence semantic representation terms and syntax that have special semantic structure.
本文并对语义结构比较特殊的存在语义的表达所用的词汇和语法手段进行了专门的探讨。
The traditional watershed segmentation algorithm is a kind of unsupervised segmentation algorithms, which produces sub-regions without semantic representation.
传统的分水岭分割算法属于无监督的图像分割算法，分割获得的子区域往往不具备现实的语义信息。
The citation network lacks the semantics and can not be reasoned. To research the semantic representation of the citation networks and semantic reasoning we need that.
引文网络缺乏语义而且不能进行推理，但是对引文网络的语义表示和语义推理的研究却不多。
Psychologists have done a lot for the research on semantic representation model of lexical and its influential factors by the method of cognitive processing and neural connection.
长期以来，心理学家从认知加工和神经联结的角度对词汇的语义表征模型及其影响因素问题作了大量研究。
It provides a rich representation of the data model that supports semantic query.
它为数据模型提供了一个丰富的表示并支持语义化的查询。
That is, semantic services translate the physical data into a logical representation of the data that conforms to the agreed-upon business view of the data (the information model).
也就是说，语义服务将物理数据转换为数据的逻辑表示形式，该逻辑表示形式符合数据的达成一致的业务视图(信息模型)。
An example of such a semantic data representation is shown in the following code.
下面的代码就是这样一个语义数据表示的示例。
MD: Our early experience with a rich intermediate representation (IR) convinced us of the value of true semantic integration within the tools.
MD：有关丰富的中间表示(intermediate representation,IR)的早期经验使我们相信工具中真正的语义集成的价值。
Selecting episode representation frame is one of the important processes in video semantic analysis and content-based video retrieval.
情节代表帧选取方法是视频语义分析和基于内容的视频检索的很重要的方法。
Latent Semantic Analysis (LSA) is a theory and method of acquisition and representation of knowledge.
潜在语义分析(LSA)是一种知识提取和表示的理论和方法。
For video sequences, we introduce such techniques as shot detection, representation of shot content, semantic scene description.
对于视频序列，则介绍了镜头检测、镜头内容表示、场景的语义描述等技术。
Using latent semantic analysis to extract feature, the affect of synonymy and polysemy in text representation process is eliminated and the dimension of text vector is reduced.
利用潜在语义分析进行特征抽取，消除多义词和同义词在文本表示时造成的偏差，并实现文本向量的降维。
This paper presents the details of generating higher-level intermediate representation from IA-64 assembly language by means of semantic specification in decompiling.
介绍了在反编译过程中通过语义描述由IA-64汇编代码生成更高级的中间表示的实现技术。
In this paper, a semantic shot representation and event query framework for soccer video is proposed.
提出了一个足球视频中的语义镜头表示及事件查询框架。
This paper also introduces the knowledge representation of Chinese idioms and the automatic process of semantic retrieval.
文章还介绍了成语的知识表达方法和自动的语义检索过程。
By attaching semantic actions to various points in this hierarchy, in effect we can transform the flat linear input stream into a structured representation.
借由将语义动作黏附到这个层次中的很多黏附点上，我们可以将平滑的线性输入流转换成结构性的对象。
By attaching semantic actions to various points in this hierarchy, in effect we can transform the flat linear input stream into a structured representation.
借由将语义动作黏附到这个层次中的很多黏附点上，我们可以将平滑的线性输入流转换成结构性的对象。
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