当用宏指令调用定义时，从宏定义的模型语句中产生汇编语言语句。
To produce assembler language statements from the model statements of a macro definition when the definition is called by a macroinstruction.
使用ASP.NETMVC3Beta版和新@模型语句来引用模型
Referencing the Model using the ASP.NET MVC 3 Beta and new @model syntax
创建了资源后，可以编写关于这些资源的语句并添加到模型中。
After the resources are created, statements can be made about them and added the model.
你还需要一种语法来描述如何通过这些术语组成“语句”(或者模型)，同时需要一种具体的句法去表示它们3。
You need a grammar to describe how to build "sentences" (or models) from those terms, and you need a concrete syntax to express them 3.
事实可以采用自然语言语句的形式，也可以作为一个规范模型中的属性、关系或概要。
Facts may take the form of natural language statements or as attributions, relationships, or generalizations within a formal model.
这特别应用于模型中的操作语句——也就是说，开发人员写入特定模型元素中，用于指定具体行为的代码段。
This applies in particular to action statements in the models — that is, the snippets of code that developers write into certain model elements to specify detailed behavior.
这个数据模型以及表间的业务关系可以提供一种比sql语句更为稳定的选择分区键的方式。
The data model and the business relationship between tables can provide a more stable way of selecting a partitioning key than specific SQL statements.
尤其是，需要像BOM的规范化模型中那样，使用便于理解的业务类型定义原子性规则语句中的业务类型。
In particular, you need to ensure that business types within atomic rule statements are defined using well-understood business types, as expressed within the normalized model of BOM.
我们从基本操作开始：从头创建模型并向其添加rdf语句。
Let's start with the basics: creating a model from scratch and adding RDF statements to it.
备选方法将本体看作特殊rdf模型，仅添加定义其语义规则的语句。
An alternative approach is to treat the ontology as a regular RDF model, and simply add statements defining its semantic rules.
但是，如果出现了新模型，则必须返回查看代码并确保语句对新模型工作正常。
However, if a new model came along, you'd have to go back through the code and make sure the statements worked for the new model.
一个用于读取语句和表达式的代码模型。
将属性和度量转换为SQL表达式，这些表达式用来构造对多维数据集模型进行查询的sql语句。
Convert the attributes and measures into SQL expressions, which are used to construct the SQL statement to query the cube model.
如果只针对两个模型，使用ifthen语句添加这些功能十分平常。
With only two models, it would be fairly trivial to add these features with if then statements.
资源描述框架(Resource Description Framework,RDF)是一种描述有关Web资源的格式化语句集合的模型。
Resource Description Framework (RDF) is a model for describing collections of formalized statements about a Web resource.
您可以生成实体数据模型(Entity Data Model,EDM)架构，可以使用支持的IBM数据服务器版本向实体应用程序编写和执行entitysql和LINQ语句。
You can generate Entity data Model (EDM) schemas, and you can write and execute EntitySQL and LINQ statements to Entities applications with the supported IBM data server versions.
如果您还没有找到陷阱，请注意其中的查询看起来有点象从数据库读取数据的模型逻辑，而out. println语句中的信息看起来象是HTML。
If you haven't spotted the trap, notice that the query looks suspiciously like model logic reading from a database, and the information in the out.println statements looks like HTML.
将多维数据集模型查询的sql语句组合起来。
complete方法允许您搜索rdf模型以找到一个匹配指定模式的语句。
The complete method allows you to search the RDF model for statements that match a specified pattern.
文件开始部分是一些import语句，告知mtf规则所引用的emf模型，如清单3中所示。
The file begins with some import statements, which tell MTF which EMF models the rules refer to, as Listing 3 shows.
Django使用模型在数据库中生成和执行sql语句，反过来，这些sql语句会返回一个结果。
Django USES the model to generate and execute SQL statements in the database, which in turn return a result.
此方法以Resource作为主题在模型中创建语句。
This method creates a statement in the model with the Resource as its subject.
注释通过将注释应用到xpath语句所选择的文档对象模型(Document Object Model,DOM)元素上在一个已解析的HTML文档的DOM版本上工作。
Annotation works on a document Object Model (DOM) version of a parsed HTML document by applying annotations to DOM elements that are selected by XPath statements. For example, the statement.
如果我们对该模型运行这一查询，我们将得到一列资源(因为rdf：type语句的对象是资源)。
If we ran this query on this model, we would get a list of resources (because the objects of RDF: type statements are resources).
求得的语句，也被称为 三元组（triple），被自动添加到RDF数据库（被称作模型）中，或从其中删除。
The resulting statements, also known as triples, are automatically added and removed from the RDF database (known as the model).
DB - aware对象创建的SQL语句根据所访问数据库的物理数据模型而生成。
The SQL statement created by the DB-aware objects will be generated based on the physical data model for the database being accessed.
在XMLSchema 1.0中，这些条件使用一个含25个case语句的表指定，并且要满足这些条件，内容模型之间必须非常相似。
In XML Schema 1.0, these conditions are specified using a 25-case table, and the content models have to look very similar to satisfy these conditions. This can cause problems.
清单1给出了一个基于多维数据集模型的SQL查询示例，并展示了sql语句的各个部分如何映射到多维数据集模型中的元素？
Listing 1 gives an example of a SQL query based on a cube model and shows how the parts of the SQL statement map to the elements of the cube model.
ActiveScaffold会创建一条sql语句为模型搜索所有的varchar列，这样输入诸如“ham”之类的条件就可以找到基于姓氏的用户记录了。
ActiveScaffold will create SQL that searches all varchar columns for the model so that entering a term like "ham" will find my user record based on my last name.
给定了本体和模型后，Jena的推理引擎可以派生模型未明确表达的其他语句。
Given an ontology and a model, Jena's inference engine can derive additional statements that the model doesn't express explicitly.
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