Marking is a step or technique in MDA in which additional information, not within the semantic scope of the model itself, can be added to a model solely for use by automation later.
标记是MDA中的一个步骤或技术，在这个步骤当中，附加的信息（不包含在模型本身的语义范围中）能够被加入到模型中，在随后的自动过程中单独使用。
Providing semantic information, such as roles of objects and relationships between them.
提供语义信息，如对象的作用和它们之间的关系。
Our second assumption is that we are in an information age, and the challenges of semantic interoperability will only increase.
我们的第二个假设是，我们处在一个信息时代，语义互操作性的挑战只会增加。
Semantic information defines the meaning of any given portion of the model.
语义性的信息定义了模型给定部分的意义。
After all, SOA works well with other architectures, and SOA by itself doesn't solve information and semantic integration challenges.
毕竟，SOA能很好地与其他体系结构并存，而SOA本身并不能解决信息和语义集成挑战。
In reality, the message exchanged in SOAP is just an XML document that contains the serialization information for computing without the semantic significance.
实际上，SOAP中交换的消息只是包含用于进行计算的序列化信息的XML文档，并没有语义方面的意义。
Then, those downstream models and artifacts might undergo further refinement that is not related to any semantic information managed by the transformation process.
然后，可能对那些下游的模型和工件进行更进一步的细分，这些细分与转换流程所管理的语义信息不相关。
It will encode a rich semantic graph of your information, relationships, interests, behavior and preferences.
它会对你的信息、关系、兴趣、行为和偏好编码成一个丰富的语义图表。
First, it invokes the enterprise (core) semantic service to retrieve the enterprise-level organization information.
首先，它调用企业(核心)语义服务来检索企业级组织信息。
Semantic information modeling (ontology) moves beyond structural, logical data modeling in the sense that it models semantics (meaning) and relationships of data.
语义信息建模(本体)不属于逻辑数据建模，它对数据的语义(含义)和关系建模。
But it's more than a classification scheme; ODC is a measurement system for software processes based on the semantic information contained in the defect stream.
但是它不仅仅是一个分类方案，ODC是一个软件过程的度量系统，它是建立在包含于缺陷流中的语义信息基础上的。
On the other hand, decomposition of XML data into relational columns is a complex and costly process, and it removes the self-descriptive semantic information within the XML.
另一方面，将XML数据分解为关系列是一个复杂的流程，成本太高，而且它移除了XML中的自我描述语义信息。
But while the sites became more flexible, with structure no longer tied to a particular layout of files, the amount of semantic information in the URI decreased.
但是，虽然站点变得更加灵活，结构也不再绑定到特定的文件布局，但是URI中的语义信息量也减少了。
Again, the hidden information can be exposed explicitly through semantic response as described in Listing 11.
同样，隐藏信息通过如清单11所示的语义响应而清楚地公开出来。
In practice, developers and users tend to want URIs to embed at least a modicum of semantic information, not only a syntactic form.
在实践中，开发人员和用户喜欢在URI中嵌入一些语义信息，而不只是采用语法形式。
There are three major information integration patterns to achieve semantic interoperability: data federation, data consolidation and Enterprise Application Integration (EAI).
有三种主要的信息集成模式可用于实现语义互操作性：数据联合、数据整合和企业应用集成（EAI）。
Similarly, top-down semantic tools are focused on dealing with imperfections in existing information.
类似地，自顶向下的语义工具关注点在于怎样处理现有的非完美的信息。
Semantic chaos means everybody defines their own schemas and vocabularies, does not follow any information standards, and does not consider semantic interoperability with the rest of the systems.
语义混乱意味着所有人都定义自己的方案和词汇，而不遵守任何信息标准，也不考虑与系统的其他部分之间的语义互操作性。
The data manipulation services (in the lower layer) extract data from the physical repositories, and semantic services turn this data into information.
数据操作服务(在下方的层中)从物理存储库中提取数据，并且语义服务将该数据转换为信息。
Generally speaking, a model is comprised of semantic and notational information.
一般来说，一个模型由语义性的和计数性的信息组成。
The former allows easy searches, semantic context and information retrieval, whereas the latter enables efficient editing in an advanced hypertext environment.
前者有助于搜索、语义上下文和信息检索，而后者让用户能够在高级超文本环境中进行高效的编辑。
DITA is the semantic framework for the information.
DITA是这些信息的语义框架。
The Semantic Web is allowing us to focus on information and forget about information containers.
而语义网络又使我们关注于信息，而不是信息的容器。
In a broader sense, most information integration deals with semantic interoperability.
广而言之，大多数信息集成都是对语义互操作性进行处理。
However he added that Linked Data "does not by itself add any semantic meaning to the information, but it better carries that semantic information once you have it.
但是，关联数据本身不会给信息增加任何语义含义，而是更好地携带语义数据，供用户访问。
Much still needs to be done in order to effectively publish and exploit large-scale semantic information.
高效出版和开发大规模语义信息仍需要许多努力。
Before multiple applications can truly understand data — and treat it as information — semantic interoperability is required.
在多个应用程序可以真正理解数据(并将其作为信息使用)之前，要求具有语义协作能力。
Logical data and semantic information modeling.
逻辑数据和语义信息建模。
Logical data and semantic information modeling.
逻辑数据和语义信息建模。
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