At the same time, Web crawler developers work to create new crawling approaches that account for the ever-increasing complexity of Web pages, often with impact on their processing speed.
与此同时，web爬虫程序开发人员努力创建新的爬行方法以应对日益复杂的web页面，因为复杂的web页面常常会影响页面的处理速度。
Sitemaps 0.90 is an important step toward this goal and allows simple and efficient crawling even of complex and dynamic modern Web sites.
Sitemaps 0.90是实现这一目标的重大突破，甚至在复杂和动态的现代Web站点中，它也能提供简单和有效的爬行。
This example demonstrates the crawling phase of a Web spider.
这个例子展示了Webspider爬行的阶段。
But all the major and legitimate Web crawling engines obey the requests in robots.txt.
不过，所有主要的合法Web爬虫引擎都会遵从robots . txt内的要求。
Most search engines work by crawling the Web, indexing and filtering the content they find into massive databases, and searching these databases to find results matching a particular search query.
大多数搜索引擎的工作方式是：在Web上爬行，索引并过滤在海量数据库中找到的内容，然后搜索这些数据库以找到匹配特定搜索查询的结果。
The crawling process is the most crucial part of the scan, so you should always make sure that the web vulnerability scanner is able to crawl all of the website’s objects and inputs.
这个抓取的过程在扫描过程中是至关重要的一步，因此你要确定web漏洞扫描器能够抓取关于站点的所有对象和输入点。
Internet search engines have focused largely on crawling text on Web pages, but Google is knee-deep in research about how to analyze and organize structured data, a company scientist said Friday.
互联网的搜索引擎们把主要精力都放在采集web页面的文本信息上，但是google却在研究如何分析和组织结构化数据方面小有所成，该公司的一位科学家上周五表示。
The crawling strategy and topic relevance algorithm of web spider is the core for vertical search engines.
在垂直搜索引擎中，网络蜘蛛的爬行策略和主题相关性判定算法是其核心。
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。
As the story unfolds, you will discover exciting new abilities such as web-swinging, wall-crawling and fighting moves.
随着故事的展开，你会发现令人振奋的新功能，如网上摆动，墙壁抓取和战斗行动。
This paper is going to deal with two main algorithms in Focus crawling, these being web page filtration and URL ordering.
这篇论文主要研究了面向主题的搜索中的两个关键算法——网页过滤和链接排序，同时研究了搜索器的实现技术。
The decentralized status and dynamic changes of web information present troubles to information crawling.
网络信息的分散状态和动态变化也困扰着信息采集问题。
However the current two ways of web crawling used by focus crawler are low efficiency.
然而目前的主题爬虫所采用的两种基本抓取网页的方式效率比较低下。
For the mass number of web pages needed to be crawled, how the information crawling system gets more web pages with good quality effectively, is related to the system performance.
信息采集系统需要采集的页面数量非常浩大，如何有效地采集到高质量的网页关乎系统性能。
The experiments verified efficiency of web crawling and accuracy of pages classification. Additionally, we describe an incremental update crawler system in Deep Web.
并通过实验证明，该方法具有网页抓取的高效性以及页面分类的准确性。
The experiments verified efficiency of web crawling and accuracy of pages classification. Additionally, we describe an incremental update crawler system in Deep Web.
并通过实验证明，该方法具有网页抓取的高效性以及页面分类的准确性。
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