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A Survey on Content Based Crawling for Deep and Surface Web

机译:基于内容爬行的深层爬行探索

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The World Wide Web contains massive source of content. Fetching of relevant information from the WWW is a very typical task. Web crawler plays an important role to fetch the relevant content from the WWW and for indexing the web pages. To accommodate drastically increasing user requests, an efficient and optimized crawler is required. Content of the surface web pages are available to all users directly for access, but content of the deep web is not exposed to the users. The crawling of the hidden web is even more difficult. Authors have proposed algorithms for different web crawlers for fetching the information from the surface and deep web in an efficient and optimized manner. In this paper, we have reviewed different web crawlers and have classified them based on the information fetched by them. This paper provides a comparative analysis of web crawlers used for fetching the information based on URL, deep and surface web.
机译:万维网包含大规模的内容来源。从WWW获取相关信息是一个非常典型的任务。 Web爬网程序在获取WWW中获取相关内容并索引网页扮演重要作用。为了满足大幅增加的用户请求,需要一种有效和优化的履带。 Surface网页的内容可供所有用户直接用于访问,但深网络内容未暴露给用户。隐藏网的爬网更加困难。作者已经提出了用于不同的Web爬网的算法,用于以有效和优化的方式从表面和深网获取信息。在本文中,我们已审查了不同的Web爬网程序,并根据它们所取出的信息分类它们。本文提供了用于基于URL,深和表面Web获取信息的Web爬虫的比较分析。

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