Since ontology is not only a collection of various concepts, but also reflects the semantic connection between each concepts in the ontology model.

Fifthly, the semantic connection between complement and other components in the sentence is very abundance and complex;

第五，补语的语义指向是多方面的，语义内容非常复杂；

Relates the ingredient and the relational minor sentence all has in the semantic connection.

被关系化的成分与关系小句都有语义上的关联。

Experimental results show that the algorithm can keep semantic connection of documents with high document cluster accuracies.

对该算法进行了实验分析。结果表明，该算法在保持文档语义联系的同时，其对文档的聚类有较高的准确性。

An object oriented relation frame semantic data model and new physical data structure are proposed.

其中提出了以对象为中心的关系-框架数据模型，新型的物理数据结构。

Semantic Data Model for IC Design Data

IC设计数据的语义数据模型

Instantiation of image class based on image semantic data model

基于图象对象语义模型的图象对象的创建

Application of Object-oriented Semantic Data Model to the Spatial Database

面向对象的语义数据模型及其在空间数据库中的应用

A statistical and scientific database definition language based on semantic data model

一个基于语义数据模型的统计与科学数据库定义语言

A GIS Semantic Data Model for the Purpose of Data Sharing

面向数据共享目的的GIS语义数据模型

A New Wood Identification Method based on Semantic Data Model

基于语义数据模型的木材识别方法

The parser was trained and evaluated on a 1M-word-scale corpus annotated with semantic dependency, Semantic Dependency Net ( SDN).

语义分析器在1百万词的标有语义依存关系的语料库（语义依存网络语料库，SDN）上训练并测试，文中设计、实现了多个实验以分析语义分析器的性能。

Experiments show that named entity recognition, semantic dependency relations and case-based rule perform very well in answer ex-traction.

实验表明：命名实体识别、语义依存关系和案例规则模板能有效地实现答案抽取，获得较高正确率。

In this paper, after a feature-based business component model is proposed, structural and semantic dependency relationships between components are deeply researched.

在提出基于特征的业务构件模型之后，研究构件之间存在的结构和语义依赖关系，并分析了构件组织方式与建模效率之间关系。

The algorithm eliminates the R/ W semantic dependency through maintaining multiversions of low level data.

算法通过保留低安全级数据的多个版本，消除了多级事务的先读后写语义依赖。

Influences of Motivation on the Three Stages of Second Language Learning; On Construction of a Chinese Corpus Based on Semantic Dependency Relations

二语习得动机因素与语料输入语料处理及语言生成间的关系基于语义依存关系的汉语语料库的构建

Sentence Understanding modeling based on semantic dependency Relationships

基于语义依存关系的句子理解模型

On Construction of a Chinese Corpus Based on Semantic Dependency Relations

基于语义依存关系的汉语语料库的构建

The analysis of source language is relatively independent of target language, and the parser is also relatively independent of semantic dictionary.

分析算法与语义词典相对独立，使系统易于扩充和改进。

Extended words selected from both retrieved documents and the semantic dictionary are employed to form a new query set.

从初检文档和语义词典两方面选取扩展词对原查询进行扩展形成新的查询集。

To solve the problems mentioned before, semantic dictionary was led into the domain of text categorization.

为懂得决上述题纲，本文将语义词典引入到文本开类范畴。