这是一个关于自由的帖子，保存自己的数据的自由，以及运行软件的自由。
This is a post about freedom. The freedom to keep your data for yourself and the freedom to run free software.
这些帖子激起了一系列有关所有可能和不可能实现的数据结构、智能编码和零件编码标准的深入探讨。
These posts sparkled an intensive discussion about all possible and impossible data schemas, intelligent numbers and standards for part numbering.
来源于2011赛季的最新有效数据以及大部分的帖子、回复和被喜爱次数显示，曼联还有着最活跃的在线球迷。
United also have the most actively engaged fans, according to the latest available figures from March 2011, together with the most the most posts, comments and likes.
这家公司请人们将行踪添加到微型帖子(tweet)中，希望这样做能让它使用这些数据，来将广告和其它服务导向行踪改变的人们。
Asking people to add their whereabouts to their tweets, the firm hopes, will enable it to use these data to direct advertising and other services at people as they move from place to place.
知道这个数据，你每月就能知道该在博客里发什么样的帖子了。而且能知道这种能引起共鸣的内容走向。
Knowing this data, you can line it up next to your blog posts published each month and see trends in the the kind of content that resonates.
例如，讨论数据库中的基本数据元素是个人使用文档形式发表的帖子。
For example, the basic data element in a discussion database is an individual's contribution in the form of a document.
这四个系列的帖子着眼于机电产品的物料项目，数据和物料清单的管理。
This series of four posts looks at the management of items, data and bills of material for mechatronic products.
正如我们在最近的一些帖子中说明的那样，目前所处的这个网络时代(有人称之为“Web3.0”，而我们对此有些矛盾的心态)主要关注于数据的使用和数据的智能化。
As we have been explaining in recent posts, this current era of the Web (which some have termed "Web 3.0", a term we're ambivalent about) has a big focus on using data and making it smarter.
我注意到盗取数据者在他的伪美人鱼论坛发了个整顿社区，重新招聘社区管理人员的总固顶帖子。
I note that the stolen data in the months to rectify false Mermaid forum community. Recruit community management staff, the total jacking message.
我有数据库表主题和帖子用户等。
以上是数据集函数的概述。下篇帖子，我将用些示例来说明怎样在报表中使用这些函数。
And that's the overview. In my next post, I will provide some examples that illustrate how to use these functions in your reports.
设计实现用户管理、帖子管理、版面管理、数据库管理、内容的浏览和查找。
Design and implement user management, threading management, page layout management, database management, browsing and searching of content.
论坛的结构化数据抽取是对论坛中帖子的标题、作者、发表时间和内容文本块等论坛元数据的抽取，它是处理论坛数据的基础。
Forum structured data extraction is the meta-data extraction from web forums such as post title, post author, post time and post content. It is the foundation of processing forum data.
然而由于网页布局设计的复杂性和用户发表帖子的灵活性，从论坛网页中抽取结构化的数据是一项未能很好解决并非常具有挑战性的任务。
Because of both complex page layout designs and unrestricted user created posts, extracting structured data from web forum pages is a very challenging task and not solved well.
实验结果表明该方法对论坛帖子的标题、作者、发表时间和内容文本块等元数据的抽取达到了较高的准确率。
Experimental results show that the proposed approach achieves high accuracy in extracting some metadata of web forums such as post title, post author, post time and post content.
由于网页布局设计的复杂性和用户发表帖子的灵活性，从论坛网页中抽取结构化的数据是一项未能很好解决并非常具有挑战性的任务。
Because of both complex page layout designs and unrestricted user created posts, extracting structured data from Web forum pages is a very challenging task and not easily solved.
由于网页布局设计的复杂性和用户发表帖子的灵活性，从论坛网页中抽取结构化的数据是一项未能很好解决并非常具有挑战性的任务。
Because of both complex page layout designs and unrestricted user created posts, extracting structured data from Web forum pages is a very challenging task and not easily solved.
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