A case study on MDD based on LDM.
基于LDM的MDD案例分析。
A LDM helps to reduce total cost of ownership.
LDM有利于减少总体拥有成本。
Data modeler imports XSD version two and creates a LDM (baseline two) based on it.
数据建模师导入XSD版本2并根据它创建一个LDM(基准2)。
For the LDM transformation you have to tag this domain object as an entity stereotype.
对于ldm转换，您必须将这个域对象标记为实体构造型。
Meanwhile, a LDM captures business entities, their relationships, and business rules.
同时，LDM 将捕获业务实体、它们的关系和业务规则。
Transforming an LDM specification to a UML model is an equally valid and supported use case.
将一个LDM规范转换为一个uml模型也是一个同等有效和受支持的用例。
Like other DNA damage agents, LDM induces cell cycle arrest, apoptosis and mitotic cell death.
作为DNA损伤剂，LDM可以诱导细胞周期阻滞、凋亡和裂亡。
This paper presents a new specification of LDM-Pack tree, which renders trees rapidly with high fidelity.
提出了一种层次深度拼图集的树木表示方法，可以快速绘制树木，并有较高真实感效果。
This article describes an example use case in which a UML modeler is transformed into a logical data model (LDM).
本文将描述一个示例用例，其中，一个uml模型将被转换为一个逻辑数据模型(LDM)。
These allow a LDM expressed in RDA to be transformed into a UML model within RSA for use during service analysis.
这使得RDA中表达的LDM可以转换为RS A中的uml模型，以便在服务分析期间使用。
Open the LDM file to see the new and existing UML structures, now rendered in er notation, as shown in Figure 13.
打开这个LDM文件查看新的和现有的UML结构，它们现在以ER标记呈现，如图13所示。
Which should leave you at the LDM screen where you should be able to login with users created on the server.
这将让您停留在LDM屏幕上，使用用户登录到之前所创建的服务器上。
In the following section, you apply stereotypes for the Skyway DSL transformation and for the LDM transformation.
在接下来的部分中，您可以对Skywaydsl转换以及LDM转换应用模板。
Practices prove that applying LDM to filter GCP is to raise the precision of geometric rectifying effectively.
实践证明，应用最长距离法筛选地面控制点，是提高遥感影像多项式几何校正精度的有效途径。
The data modeler transforms part, or the whole, of an LDM into a class model using the LDM-to-UML transformation.
数据建模师使用ldm到uml转换将LDM的全部或一部分转换成一个类模型。
Optionally, data modeler can transform a LDM into a physical database schema and DDL using Rational Data Architect.
数据建模师还可以选择使用RationalDataArchitect 将LDM 转换为一个物理数据库模式和DDL。
This interchange of content is supported through the UML-LDM and LDM-UML transforms that are available with RDA and RSA.
这种内容的互换是在rda和rsa提供的UML -LDM和LDM - uml转换的支持下进行的。
Similarly, changes to this UML model, perhaps based on business use cases in RSA, can be imported as updates to the LDM in RDA.
类似地，对这个uml模型的更改(也许是基于RS A中的业务用例)可以被导入，作为对rda中ldm的更新。
To execute the transformation, click Run, which creates an LDM file corresponding to the UML model, such as Involved Party.ldm.
要执行这个转换，单击Run，这将创建一个对应于uml模型的ldm文件，比如Involved Party . ldm。
The application modeler modifies class model version 1 in RSA, then transforms the updated class model (version 2) as LDM version 1 +.
应用程序建模师在rsa中修改类模型版本1，然后将更新后的类模型(版本2)转换为LDM版本1 +。
Business items could become a basis for defining the Logical Data Models (LDMs), if a LDM does not exist for that business domain.
如果某个业务域没有现成的LDM，那么可根据业务项定义逻辑数据模型(LDM)。
Some semantics may be lost during transformation from LDM to business items because LDM holds richer semantics than business items.
在从LDM转换到业务项时可能会丢失一些语义，因为ldm语义要比业务项语义丰富。
LDM Entities and Attributes and their descriptions are often either derived from, or later become, an organization's business vocabulary.
LDM实体和属性及其描述通常先是源自，然后又成为组织的业务词汇。
Data models may become so tightly coupled with particular business processes that future projects need to modify a LDM significantly.
由于数据模型可能会与特定业务流程紧密耦合，以至于将来的项目需要对LDM进行大量修改。
In order to generate an LDM-equivalent IDA Glossary model, you are actually "pretending" to export an LDM file to the Metadata Server.
为了生成与ldm相等的IDAGlossary模型，您实际上是“假装”将LD M文件输出到MetadataServer。
This article later describes a real-life case study on using a LDM as the semantic source and transforming it into various it artifacts.
本文稍后将介绍一个真实的案例分析，研究使用LDM作为语义源并将其转换为各种IT工件。
LDM should avoid being bound by a physical database, an application, or a business unit in order to be a true semantic hub across the enterprise.
LDM应避免被物理数据库、应用程序或业务单元束缚，从而实现跨整个企业的语义中心。
If you're going to create an LDM then I highly suggest you only capture information in those models which provide immediate benefit to your team.
如果您将创建LDM，那么我强烈建议您只获取向您的团队提供立即收益的那些模型中的信息。
A LDM creates an enterprise view of data, helps to reduce data redundancy, improve data quality, and speed up integration and green-field projects.
通过创建一个企业数据视图，LDM有助于降低数据冗余、改善数据质量、加速集成，以及开发新(green - field)项目。
A LDM creates an enterprise view of data, helps to reduce data redundancy, improve data quality, and speed up integration and green-field projects.
通过创建一个企业数据视图，LDM有助于降低数据冗余、改善数据质量、加速集成，以及开发新(green - field)项目。
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