从RDF图中删除三元组。
它提供前面提到的三元组的识别和解释方法。
It's how the triples that I mentioned earlier are identified and interpreted.
然后后续处理就是操作和查询存储中的三元组。
Subsequent processing then takes the form of manipulating and querying the triples in the store.
图2：治理三元组的每个组件都供给另一个组件。
Figure 2: Each component of the governance triad feeds another component.
还应该记住，RDF 三元组的组件通常是URI。
You should also remember that the components of an RDF triple are usually URIs.
由于每个命题都有主语、谓词和宾语，也被称为三元组。
Because every statement has a subject, predicate, and object, it is also referred to as a triple.
随后rdf应用程序所要操作的就是清单2中显示的这列三元组了。
It is the list of triples shown in Listing 2 that is then acted on by RDF applications.
在RDF处理器将这一部分解析成三元组时，我获得了清单2中显示的数据。
When this is parsed into triples by an RDF processor, I obtain the data shown in Listing 2.
其语法类似于SQL,SPARQL查询包括一系列的三元组范型和修饰符。
Its syntax is similar to that of SQL, and SPARQL queries consist of a series of triple patterns and modifiers.
WHERE子句引入第二个变量concept并定义与图形匹配的三元组。
The WHERE clause introduces a second variable, concept, and defines triples that are matched against the graph.
合并数据(不同的图)是一项简单操作，只需要建立包含图中所有三元组的集合。
Merging data (different graphs) is a simple operation that involves constructing a set of triples that includes all of the triples from the graphs.
您会发现Node - Arc - Node关系(三元组)比关系数据库模型更易于理解。
You may find Node-Arc-Node relationships (triple) easier to understand than relational database models.
处理RDF然后存储它的应用程序使用三元组存储(triple store)来做到这一点。
Applications that process RDF and then store it use triple stores to do this.
小心：我曾看到过许多N -Triples示例中的注释位于三元组所在行的结束小数点之后。
Be careful: I have seen many N-Triples examples with comments on the same line as a triple, after the closing period.
由于将数据直接分解成三元组，所以XML工具(象xpath或XQuery)就没有多少用处了。
As the data is directly decomposed into triples, XML tools like XPath or XQuery aren't a lot of use.
在RDF 中，这个三元组将根据一种特殊格式编码，这种格式用于识别卡通人物和他们的主要敌人。
In RDF, this triple would be encoded based on the format used to identify cartoon characters and their arch-enemies.
客户机向流程管理器发送了一条带有适当的三元组的消息之后，就会有一个流程实例被创建并开始运行。
Once a client sends a message to a process manager with the appropriate triplet, a process instance is created and starts running.
图形模式的第二个三元组与contributor的foaf：weblog属性对应的对象匹配。
The graph pattern's second triple matches the object of the contributor's foaf: weblog property.
有开源和商业工具可用于将这些格式的数据转换成三元组，从而让您可以轻松组合多个来源、不同格式的数据。
Open source and commercial tools are available to convert data in these formats to triples, giving you an easy way to combine data from multiple sources using different formats.
开源的D2RQ接口让您可以将关系数据当作一个三元组集合对待，因而该数据可以合并到这样的应用程序中。
The open source D2RQ interface lets you treat relational data as a collection of triples so that this data can be incorporated into such an application.
例如，如果一个关系数据库或电子表格说雇员94321的雇佣日期是2007-10-14，那么很容易表达为三元组。
For example, if a relational database or spreadsheet says that employee 94321 has a hire-date value of 2007-10-14, it would be easy to express this as a triple.
Registry andRepository中的每个文档都是使用名称、命名空间和版本的三元组唯一地定义的。
Each document in Registry and Repository is uniquely defined using a triple of name, namespace, and version.
语言说明符总的说来并不是该语句的特性（这就是为什么国际化没有将RDF 转换成四元组而是三元组系统的原因）。
The language specifier is not a property of the statement as a whole (which is why internationalization does not turn RDF into a system of quads rather than triples).
因此，为了应答通过Receive活动到达的消息，您将需要一个带有相同的三元组的Reply 活动。
Therefore, in order to reply to the message that arrived through the Receive activity, you would need a Reply activity with the same triplet.
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).
如果您想要在异构源之间交叉引用，或者用另一个源的数据增强某个源的数据，那么到三元组的临时转换是进行特定数据集成的优秀方式。
Temporary conversion to triples is a great way to do ad-hoc data integration if you want to cross-reference between disparate sources or enhance data from one source with data from another.
清单2 中的RDF三元组用谓词表达了author关系，虽然对您来说含义可能非常明显，但是计算机理解起来仍然困难。
The RDF triple in Listing 2 expressed an author relationship in the predicate, and while the meaning might seem obvious to you, computers still need some help.
SOP是一种安全性约束，它实际上禁止从某个源（即URL的协议/主机/端口三元组）装载的页面访问来自不同源的数据。
The SOP is a security restriction that basically forbids a page loaded from a certain origin (meaning the protocol/host/port trio of the URL) to access data from a different origin.
为了便于以后提供这种功能，将EIDB中的共同提及数据转换为一个面向三元组的模式，实现的方法是在数据库上定义一个具有这种结构的视图。
To accommodate this future possibility, the co-mention data in the EIDB is cast into a triples-oriented schema by defining a view on the database that has this structure.
RDF具有用于查询三元组的对应W3CSPARQL标准，在您组合了一些三元组集合之后，此标准将尤其方便，正如您在本文中将会看到的一样。
RDF has the companion W3C SPARQL standard for querying triples, which is especially handy after you combine a few sets of triples, as you'll see in this article.
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