通过部首或语义元素的组合，单个复合词可以表达复杂的概念关系，通常具有抽象的普遍性。
By the combination of radicals or semantic elements, single compound words can express complex conceptual relations, often of an abstract universal character.
这些完全不同的语义可能会加深对IT资产和它们支持的业务概念之间的关系理解不一的情况。
These disparate semantics can compound the already fragmented understanding of the relationship between IT assets and the business concepts they support.
本教程是针对那些希望更好地了解本体开发(或者概念分类)及其与语义web的关系的读者而编写的。
This tutorial is for readers who want to better understand the development of ontologies, or classifications of concepts, and how they relate to the semantic Web.
利用域的概念和模板匹配的原理，引入域关系表达式及其扩展表达式来实现结构化数据到XML数据的语义映射。
Using the concept of domain and the principle of template matching, the domain-relationship expression and its extension are developed to realize the semantic mapping from structured data to XML data.
目前常用的反馈技术依然是基于关键词匹配的方式，基于语义的方式缺少概念之间关系的描述。
Now, the main techniques are also devised by methods based on keyword match and used semantic, the techniques are pressed for information about expression of relation between concepts.
本文对语言理解和语境的关系进行了讨论，并引进了语义逼近和系统语境等概念。
In this paper, relation of language environment and language understanding is discussed, and some conception about semantic approximation and system language environment is introduced.
本文从认知连通可行性和认知操作可行性的角度出发，探讨概念框架和语义结构的理论意义和互相关系。
This paper discusses the significance of and the relationship between the conceptual frame and the semantic structure within the perspective of the cognitive connectivity and the cognitive operation.
本体就是对概念和关系的描述，基于本体的文本分类就是基于知识层面和语义层次上的分类。
Ontology is a description between the conception and the relation. The document categorization based on ontology is based upon the level of knowledge and semantic relations categorization indeed.
如何确定概念间语义关系的存在性和如何确定概念间的关系类型是本体关系学习的两个基本问题。
How to acquire the relation between the concepts and how to label the type of the conceptual relation are two basic problems of the ontology relation learning.
概念与概念之间再通过结构关系、语义关系而构成一个复杂的概念网络。
By the relations of construction and semantics, the concepts between each other can construct a complicated conceptual network.
基于带权语义距离的网页预取方法对用户兴趣进行归纳，用带权语义距离反映词与词之间的概念关系。
The Web prefetching method based on weighted semantic distance induces the user interests and reflects the concept relations of the terms by weighted semantic distance.
本文介绍了多级关系的概念并阐述了更新操作在多级关系中的语义。
We introduce the concept of the multilevel relation and we explain the update semantics for multilevel relation.
根据深层语义关系，确定结果范畴概念的内涵和外延。
The connotation of denotation of the definition of the category of Result is determined according to deep semantic relations.
并且根据语义与知识结构的关系，提出了‘义息’概念及测度。
And on the basis of the relationship between semanteme and knowledge structure, we advance the concept and the measure of 'seman-nows'.
概念与概念之间再通过结构关系、语义关系而构成一个复杂的概念网络。
We construct a conceptual network by describing the structural and semantic relationships among concepts.
从两个方面讨论了模糊集合的语义，通过随机集合理论和等高线函数对模糊概念进行了说明，利用等价关系理论对模糊环境进行说明，同时结合一些具体实例加以详细讨论。
The vague concept is explained by the random set and the contour function, and vague environments are explained with equality relation. Moreover, several examples are presented in the paper.
实验结果表明，OSSC能够揭示概念之间的语义关系，可以从一定程度上提高主题分类的效果。
The experimental results indicate that OSSC can reveal the semantic relationship between concepts and is an effective method to improve the classification results.
本体是对领域中的概念及概念间的关系的描述，通过概念之间的关系来描述对象的语义。
Ontology is the description of the concepts and the relationship between the concepts in the domain, and it denotes the semantic of the objects by the relationship between the concepts.
本体映射算法是以两个本体作为输入，然后为这两个本体中的各个元素(概念、属性或者关系)建立相应的语义关系。
Ontology Mapping algorithm is basing on two Ontology as import, then building corresponding semantic relationship for each element (concept, attribute or relationship) of the two Ontology.
概念与概念之间通过结构关系、语义关系而构成一个复杂的概念网络。
Concepts consist of a complex network by the structure and semantic impacting.
该方法通过仔细分析知网中关系标知符、动态角色以及例句所描述的各种语义关系，以概念、特征、关系为基础，构建了一基于知网的关系网络。
By analyzing relations described by pointers, event roles and examples, a so called relation network was constructed based on Hownet's concepts, features and relations.
当术语的结构和语义具有优化、合理的对应关系时，术语获得理据性，从而使相应概念更易于理解和把握。
When the structure has an optimal correspondence with the meaning, the term gains motivation and the concept it denotes is thus easier to comprehend and grasp.
新模型合理地考虑了术语关系，实现了基于语义概念的检索。
Research into information retrieval based on the combination of keyword and semantic concept;
因此本文提出一种基于概念的实例、概念的定义和概念的结构层次关系的综合语义相似度的计算模型。
So that an integrated approach based on instances, definition and hierarchy information of concepts is presented.
基于词汇语义框架及其和小句论元结构的关系，从语言系统可操作性的角度出发，提出可实施认知操作的小句概念框架。
This paper gives a model of situation semantic frame - key technology in our system, which can deal with the difficulty of spoken language understanding system.
数据模子：数据模子是对数据描绘、数据之间地关系、语义、谐和性、约束性等方面地概念性东西地设置。
Data Models: a data model is the set of conceptual tools for describing data, their relation, semantics and consistency constraints.
数据模子：数据模子是对数据描绘、数据之间地关系、语义、谐和性、约束性等方面地概念性东西地设置。
Data Models: a data model is the set of conceptual tools for describing data, their relation, semantics and consistency constraints.
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