图6：实体关系模型的反向工程元模型。
Figure 6: Reverse engineered meta-model for entity relationship models.
元模型相对容易理解；它们与实体关系模型非常相似。
Metamodels are relatively easy to understand; they are similar to an entity-relationship model.
关系模型中的每个类均可以映射一个实体e JB组件。
Each class in the relationship model can be mapped to an entity EJB component.
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.
这些模型可能非常详细，显示全部的实体、关系和属性结构，甚至具有粗粒度概念之间的核心关系的更高级的可视化表示。
These models can be very detailed, showing full entity, relationship and attribute structures and can even have higher-level visualization of the core relationships between coarse grained concepts.
右边是实体对象，称为模型对象，它们有我们需要的业务知识和业务关系。
On the right are the entity objects, known as model objects, that have the business knowledge and business relationships we need.
另外，类似于CWM,ODM提供了可以在业务功能模型分解，业务信息需求以及组织分解中使用的实体关系。
In addition, like CWM, ODM provides an entity relationship that could be used to model business functions decomposition, business information needs, and organization, decomposition.
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.
良好的业务术语表可以为规范化数据建模活动提供有价值的输入，提供在这些模型中创建实体和关系所需的核心定义。
A well-formed business glossary can form a valuable input into canonical data modeling activities, providing the core definitions required to establish entities and relationships within these models.
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.
数据库模型：包括SOA使用的数据库的实体关系图。
Database model: Includes an entity relationship diagram for the databases the SOA USES.
有些形式的规则在模型中的业务类型定义中是隐式的，它们出现在被建模领域的业务类型的UML和实体关系(ER)模型中。
Certain forms of rules are implicit in the definition of the business types in the model, and manifest in UML and entity relationship (er) models of the business types of the modeled domain.
它们由逻辑数据模型转换而来，其中实体和关系转换为表、列、主键、外键以及约束。
They are transformations of logical data model where the entities and relationships are transformed into tables, columns, primary keys, foreign keys, and constraints.
概念数据模型是在初始阶段创建的，通常只包括实体和它们最重要的关系。
The conceptual data model is created during the initial phases and typically includes only entities and their most important relationships.
主要数据项(业务实体)及其关系的通用(规范的)uml类模型。
A common (canonical) UML class model of the main data items (the business entities) and their relationships.
数据模型很快就会变得非常庞大，包含很多实体和关系。
Data models quickly become very large with many entities and relationships.
实体及关系处于第一等级，用复合数据模型元素表示。
Entities and relationships are first class citizens and are represented by the CompositeData model element.
相反，规范化数据模型是SOA包含的所有数据库和相关遗留应用程序中的所有实体及其关系的参考。
Rather, the canonical data model is the reference for all of the entities and their relationships across all of the databases and related legacy applications that the SOA encompasses.
一个逻辑数据模型不受不同实体之间关系的限制。
A logical data model is not constrained regarding possible relationships between different entities.
概念数据模型通常是粗粒度的，其目的是显示所考虑的宽泛的实体和关系。
The conceptual data model typically is coarse-grained and is intended to show the broad set of entities and relationships under consideration.
此模型描述系统中的实体及其关系。
It describes the entities in the system and their relationship.
为了捕获概念性的实体-关系模型，为每一个复合数据建立一个关系模型元素。
For each CompositeData, an entity model element is also created in order to capture conceptual entity-relationship models.
更为有效的表达方法，例如实体关系或者对象模型，可以用来解决复杂的数据映射或者查询异构数据。
More powerful representations, such as entity/relations or object models, are needed if one wants to perform a complex mapping of databases to each other or to query across heterogeneous databases.
为了实现这些，我们使用了公用ea模型，例如业务过程模型以及实体-关系模型。
To do so, common EA models used in this organization have been used, i.e., business process models and entity-relationship models.
OrderItems表是多对多关系中Orders和Products的连接表，这样也不能代表对象模型中的一个实体。
The OrderItems table is a link table in a many-to-many relationship between Orders and Products. As such, it does not represent an entity from the business model.
熟悉各种模型形式，如实体关系图(Entity - Relationship Diagram,ERD)、UML和其他面向系统的建模方法，将提供广泛的建模选项。
Familiarity with a variety of model forms, such as entity-relationship diagrams (ERDs), UML, and other system-oriented modeling approaches, will provide you with a wide range of modeling options.
传统的ER模型具有均匀且平衡的实体样式和实体之间的复杂关系，而星型模型却是完全不对称的。
Whereas the traditional er model has an even and balanced style of entities and complex relationships among entities, the star model is very asymmetric.
逻辑数据模型定义实体以及实体之间的关系，而不考虑实现平台。
A logical data model defines entities and relationships between entities without consideration of the implementation platform.
业务模型定义了实体和实体之间的关系，并且忽略执行平台。
A business model defines entities and relationships between entities, without consideration of the implementation platform.
在RDA中创建逻辑数据模型，就可以显示各种实体之间的关系、这些实体的属性和所有这些不同对象之间的关系。
In RDA, creating a logical data model allows you to show relationships between various entities, attributes for those entities, and the relationships between all these different objects.
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