Unlike the conceptual data modeling phase, where a few attributes may be shown for illustration purposes only, all of the attributes for each entity must be included during logical data modeling.
在概念数据建模阶段，只显示一些作为演示的属性，而在逻辑数据建模期间，必须将每个实体的所有属性包括进来。
While conceptual and logical data modeling may result in two separate yet related data models, more often, these are two sequential phases of analysis acting upon the same data model.
虽然概念数据建模和逻辑数据建模会产生两个不同但是相关的数据模型，但更常见的是，它们是在同一个数据模型上进行的两个连续分析阶段。
Conceptual data modeling drives the initial broad specification within the canonical data model, and logical data modeling adds further detail within that same model.
概念化数据建模驱动规范化数据模型中最初宽度的规范，而逻辑数据建模则在同一个模型中增加进一步的细节。
There are three levels of data modeling: conceptual, logical, and physical.
数据建模有三层：概念、逻辑和物理。
Sometimes, relationships expressed during conceptual data modeling (in particular many-to-many relationships) are shown in the logical model as entities themselves.
有时候，概念数据建模期间表达的关系（特别是多对多关系）在逻辑模型中被显示为实体本身。
Model - Supporting conceptual, logical, and physical data modeling.
模型(Model)-支持概念、逻辑和物理数据模型。
Visualize - Supporting conceptual, logical, and physical data modeling.
可视化(Visualize)-支持概念数据建模、逻辑数据建模和物理数据建模。
It includes the concepts of conceptual and logical data modeling.
它包括概念数据建模和逻辑数据建模的概念。
Part 4 in this series Outlines the role of conceptual and logical data modeling within SOA.
本系列的第4部分概述了SOA中概念数据建模和逻辑数据建模的作用。
A longstanding and common design pattern for data modeling is the division of the data model into three parts: a conceptual model, a logical model, and a physical model.
数据建模中一种常见并被长期使用的设计模式是将数据模型分为三部分：概念模型、逻辑模型和物理模型。
The GIS semantic data modeling approach has been used as a tool to design the needed conceptual model.
采用语义数据模型的方法，提出利用地理特征这一概念作为建模的基本概念。
The conceptual modeling elements and mutual relations between them are discussed and some key technical problems are identified in the development of feature based temporal - spatial data models.
讨论了基于特征的概念模型要素及相互关系；提出了基于特征的时空数据模型所面临的关键技术。
The conceptual modeling elements and mutual relations between them are discussed and some key technical problems are identified in the development of feature based temporal - spatial data models.
讨论了基于特征的概念模型要素及相互关系；提出了基于特征的时空数据模型所面临的关键技术。
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