表2列出了您可以轻松标记为结构化数据的较为常见的信息类型。
Table 2 lists the more common information types that you can easily mark up as structured data.
XML 是以结构化和自描述标记的方式交换数据的最佳的选择。
XML is the most popular choice for exchanging data in a structured and self-describing notation.
半结构化数据一般包含标记或其他元素，以从语义上分隔那些隐含了关于相关数据的一些详细信息的相关元素。
Semi-structured data generally contains tags or other elements to separate semantically related elements that imply some details about the associated data.
雅虎称，Facebook在自己的公共页面中添加了语义标记(semantic markup)，以此实现和SearchMonkey的结构化数据共享。
According to Yahoo, Facebook Shared this structured data with the SearchMonkey app by adding semantic markup to its public profile pages.
尽管这类标记的普及还需要一段时间，但是Google这类大公司对它的利用也显示出网络上结构化数据的重要性在不断增长。
While it will take a while for this markup to become widespread, the fact that a huge company like Google implemented it shows the increasing importance of structured data on the Web.
简单说来，OpenCalais将非结构化的HTML转换成语义上经过标记了的数据。
In a nutshell, OpenCalais turns unstructured HTML into semantically marked up data.
结构化数据(例如Xproc标记)通常比结构化代码更易重用。
Structured data (such as XProc markup) is typically easier to reuse than structured code.
可扩展标记语言XML是一种理想的网络语言，适合于结构化数据的描述和组织。
The extensible markup language, XML, is a ideal network language, which is fit for the expression and organization of structured data.
XML作为一种元标记语言，由于其良好的数据存储格式、可扩展性、高度结构化以及便于网络传输等特点，已经逐渐成为网络数据交互的标准。
XML is becoming a standard for data communication through the Internet because of its good data-storing form, expandability, hyper-structuralization and web-transforming, etc.
它采用自动数据分析，标记和处理系统，它为结构化数据集金融非结构化数据转换允许。
It utilizes automated data parsing, tagging and processing systems, which allows for conversion of unstructured data into structured financial data sets.
本文以标记有序树作为半结构化数据的数据模型，研究了半结构化数据的树状最大频繁模式挖掘问题。
In this paper, labeled ordered tree is used as the data model of semi structured data, the problem of maximum tree structured frequent pattern mining from semi structured data is studied.
本文以标记有序树作为半结构化数据的数据模型，研究了半结构化数据的树状最大频繁模式挖掘问题。
In this paper, labeled ordered tree is used as the data model of semi structured data, the problem of maximum tree structured frequent pattern mining from semi structured data is studied.
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