It is estimated that the deep web is several orders of magnitude larger than the regular, public world wide web.
据估计，目前互联网上的深层页面要比目前公布的页面大几个数量级。
The deep web content is estimated at 500 times that of the surface web, yet has remained mostly untapped due to the limitations of traditional search engines.
估计深网的容量约为表层网的的500倍，由于受到传统搜索引擎的限制，大部分深网的内容有待开发。
Also known as "invisible web", the term "deep web" refers to a vast repository of underlying content, such as documents in online databases that general-purpose web crawlers cannot reach.
“深网”也被称做“隐形网”，指的是网络中存储数量浩繁的基本信息的空间，例如存储于在线数据库中的文件，一般用途的网络搜索器是找不到这些文件的。
Our method solved the problems of low level automatic and domain constrain in the deep web crawling.
我们的方法解决了现有深度网络信息爬取中自动化程度低，适用领域窄的问题。
Collecting the deep web information resources is one of the hot topics on web resources preservation.
深网信息资源采集是当前业界普遍关注的热点之一。
While deep web information hidden behind the web search box, the user must submit queries in the web form to obtain the information.
深度网络中的信息隐藏在网页搜索框背后，用户必须以向网页表单提交查询词的形式才能获取信息。
This paper introduces the overall situation of invisible web and academic invisible web, pointing out the key problem for finding academic deep web is to find deep web databases.
介绍隐蔽网络和学术隐蔽资源的基本情况，提出查找学术隐蔽资源的核心是找到相关的数据库。
Deep Web; Network information resource; information retrieval; U. S. a.
深网；网络信息资源；信息检索；美国。
Based on the difference of accessing information, Internet can be divided into shallow network and the deep Web.
我们根据网络信息的获取方式不同可以把互联网分为浅层网络与深度网络二部分。
Beyond the realm of consumer searches, Deep Web technologies may eventually let businesses use data in new ways.
除了消费者搜索领域之外，深层网络技术最终可让各种企业以新的方式使用数据。
Halevy was referring in part to so-called "deep Web" sources, such as the databases that sit behind form-driven Web sites like Cars.com or Realtor.com.
Halevy还谈到了所谓的“深Web”源，比如为 Cars.com或者 Realtor.com这类表单驱动型网站做后台支撑的数据库资源。
A lot of information is hidden in database of deep Web. As it has vast volume and grow rapidly, the conventional approach of data integrating is not suitable for integrating it.
互联网上有大量信息隐藏在网络数据库中，其规模庞大且更新速度快，传统数据集成方法不适应集成这些信息。
Deep Web technologies hold the promise of achieving similar benefits at a much lower cost, by automating the process of analyzing database structures and cross-referencing the results.
通过分析数据库结构的自动化以及搜索结果的相互参照，深层网络技术有希望以低得多的成本实现类似语义网的功用。
It is a research engine that lets you access expert content from the "Deep Web", the part of the Internet that is not indexed by traditional search engines (e.g. databases, journals etc.).
这是一个研究引擎帮助你进入专业内容的“深层网络”：那是互联网中没有被传统的搜索引擎索引或收录的信息(比如一些专业数据库，期刊等)。
It is a research engine that lets you access expert content from the "Deep Web", the part of the Internet that is not indexed by traditional search engines (e.g. databases, journals etc.).
这是一个研究引擎帮助你进入专业内容的“深层网络”：那是互联网中没有被传统的搜索引擎索引或收录的信息(比如一些专业数据库，期刊等)。
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