规范化数据模型以规范化方式描述业务实体、属性和关系，以反映它们的业务用途。
The canonical data model describes the business entities, attributes, and relationships in a normalized form structured to reflect their business use.
还将按照dtd类型规则规范化属性，但这主要与使用DTD的文档有关，本文不再讨论。
Attributes are also normalized according to rules for their DTD type, but this mostly affects documents that use a DTD, which I do not cover in this article.
在属性规范化后，可以依靠的属性中的每个记号是通过空白来与其邻居区分开来。
After normalization of attributes, you can count on every token in an attribute being separated from its neighbors by whitespace.
规范化数据模型定义业务过程和服务建模所用的数据结构、属性和关系。
The canonical data model defines data structure, attributes and relationships used for business process and service modeling.
例如，如果在数据配置期间发现有隐藏的属性嵌入在文本字符串中，就可以修改规范化数据模型，把它们变成显式的属性。
For example, if hidden attributes are discovered to be embedded in a text string during data profiling, then these can be made explicit in a revised canonical data model.
对于包含SOA项目的相关数据的各个系统，规范化数据模型为关键实体、它们的属性和关系提供一致的定义。
A canonical data model provides a consistent definition of key entities, their attributes and relationships across the various systems that hold relevant data for the SOA project.
规范化数据模型是SOA项目中实体及其属性和基于业务需求的关系的一个公共表示。
A canonical data model is a common representation of entities, their attributes and relationships based on the business requirements in the SOA project.
规范化创建了一个标准的XML表示，用来解决诸如标记表示法、属性分类、名称空间声明、扩展和分类以及空白空间的处理等问题。
Canonicalization creates a standard representation of XML, addressing issues like the tag representation, attribute ordering, namespace declaration, expansion and ordering, and white space handling.
如果使用常规规范化，载荷将包括原始消息祖先元素的上下文，以及所有的名字空间声明和xmlns名称空间中的属性。
If normal canonicalization is used, the payload will include the context of its original message's ancestor elements, and all namespace declarations and attributes in the XMLNS namespace.
常规规范化：当序列化XML的一部分时，祖先元素的上下文和所有的名称空间声明以及xmlns 名称空间中的属性都被包括进来。
Normal canonicalization: When a sub-part of the XML is serialized, the ancestor element's context and all namespace declarations and attributes in the xmlns namespace are included.
在关系数据库规范化理论中，求解后选关键字和主属性一直是一个棘手的问题。
In normalization theory of relation database, finding candidate key and primary attribute is always a difficult problem.
提出一类新属性(偏离区间型)，并给出它的规范化方法。
A new kind of attribute (called "deviation interval") is proposed, and methods for normalizing it is presented.
在给定关系模式的属性集及其函数依赖最小覆盖集的基础上，提出一种基于模式图的规范化XML模式设计方法。
Given attribute set and minimum cover set of functional dependencies over one relational schema, a new method for designing normalized XML schemas based on schema graph is proposed.
模糊属性值的规范化是模糊多属性决策分析中的一个基础性问题。
Normalizing of fuzzy attribute values is a basic in fuzzy multiple attribute decision making.
模糊属性值的规范化是模糊多属性决策分析中的一个基础性问题。
Normalizing of fuzzy attribute values is a basic in fuzzy multiple attribute decision making.
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