RDFa specifies the following attribute types to encode RDF content
RDFa指定了下述属性类型来编码RDF内容
I gave an application example written in the XHTML code based on RDFa.
我还提供了一个用基于RDFa的XHTML代码编写的应用程序示例。
This is a convention called RDFa, which is designed to be used with XHTML.
这是一种被称为RDFa 的约定，被设计用于XHTML。
RDFA, says Ito, is "basically a way to put copyright information into HTML."
Ito说道，RDFa“基本上是把版权信息注入HTML的一种办法。”
RDFa 1.0 has been greeted mostly with enthusiasm, but there has been some criticism.
RDFa 1.0赢得了很多人的热捧，但仍有一些批评意见。
RDFa defines two types of properties for a license: Work properties and license properties.
RDFa为一个许可定义了两种类型的属性：作品属性和许可属性。
RDFa also inherited some features of XML, such as namespace prefixes, which can be confusing.
RDFa还继承了XML的一些功能，比如很容易混淆的命名空间前缀。
The RDFa Working Group is breaking RDFa 1.1 into several pieces including Core, API and usage documents.
RDFa工作组正将RDFa 1.1拆分成几个部分，包括了Core、API和使用文档。
Specifically, Best Buy used a Semantic Web markup language called RDFa to add semantics to its webpages.
具体来说，BestBuy采用了被称为RDFa的语义网络标记语言去增加其网页的语义。
Reduces the complexity of RDFa by reducing the number of attributes and the options for their placement.
通过减少属性数量与属性排列选项，可以降低rdfa的复杂性。
On April 15, 2010, the WG approved the RDFa Core 1.1 and XHTML + RDFa 1.1 modifications for publication.
2010年4月15日，工作组同意发布rdfaCore 1.1和XHTML + RDFa 1.1修改。
RDFa is a standard convention for expressing structured metadata as RDF statements within HTML elements.
RDFa是一种标准约定，可用于将结构化的元数据表达为HTML元素内的rdf语句。
One of the goals of RDFa is to allow portions of a document to be self-contained with respect to metadata.
RDFa的目的之一就是让文档的各个部分从元数据的角度看是自包含的。
RDFa is a standard way of encoding the Resource Description Framework (RDF) model into structured documents.
RDFa是将资源描述框架（RDF）模型编码到结构化文档中的标准方法。
With Drupal 7, the capability to add structured data to HTML using RDFa was incorporated into the Drupal core.
在Drupal7中，使用rdfa向html添加结构化数据的功能被整合到了Drupal核心中。
There needs to be an automatic method to recognize the presence of RDFa content and extract the RDF out of it.
此处需要能够自动识别RDFa内容是否存在并从中提取RDF。
Maintains the generic parsing of RDFa, which makes it much easier to make tools that work on top of published data.
维持RDFa的通用解析，让工具处理已发布的数据时变得更容易。
First of all, mainstream open source software like Drupal and MediaWiki have both started supporting RDFa directly.
首先，主流的开源软件，如Drupal和MediaWiki，都已开始对RDFa提供直接的支持。
Google has started to index a handful of vocabularies around people, reviews and video content using both microformats and RDFa.
Google已开始用微格式和RDFa为涉及大众、评论以及视频内容的词汇建立索引。
If we look at how RDFa is being adopted and early analysis of the benefits from doing so, we will get a sense of why this is so important.
如果看一下RDFa是如何被采纳的，以及早期对其好处的分析，我们就会明白这为什么如此重要。
For this and other reasons, the Semantic Web community sought a common approach for encoding rich metadata in our documents and RDFa was developed.
由于这样和那样的原因，语义网社区为在文档中编码丰富的元数据寻找了一种通用的解决方案，RDFa应运而生。
Better tooling will help this, but RDFa 1.1 hopes to address some of the concerns as well by allowing fully-qualified term references in attributes.
虽然更好地使用工具对此有所帮助，但RDFa 1.1也希望借助在属性中使用全限定的术语引用来解决一些问题。
In contrast to RDFa, microformats reuse existing XHTML attributes that web content authors were already used to, such as the rel attribute on links.
与rdfa相比，微格式重用了Web内容作者已经习惯的现有xhtml属性，比如链接上的rel属性。
In practice you should be able to ignore such minutiae and use this code in any flavor of HTML, but the RDFa details are interesting from a technical perspective.
在实践中，应该忽视这类细节并将代码用于任何类型的HTML内，但从技术角度而言，rdfa细节还是很有意思的。
We show how to express simple and more complex datasets using RDFa, and in particular how to turn the existing human-visible text and links into machine-readable data without repeating content.
我们将展示如何使用RDFa表达简单的和更为复杂的数据集，特别是在不重复内容的情况下，把现有的人类可见的文本和链接转变成计算机可读的数据。
We show how to express simple and more complex datasets using RDFa, and in particular how to turn the existing human-visible text and links into machine-readable data without repeating content.
我们将展示如何使用RDFa表达简单的和更为复杂的数据集，特别是在不重复内容的情况下，把现有的人类可见的文本和链接转变成计算机可读的数据。
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