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Deep Web Sources Focused Crawler

Zhiming Cui

Open publisher page 2 citations

Abstract

A lot of pages on Internet are generated dynamically by the back-end databases, which can not be reached by the traditional search engines called Deep Web. This paper proposes an algorithm of Deep Web sources focused crawling. When evaluating the importance of hyperlinks, it takes into consideration relevance among page, topic, and link-related information. Experiments indicate that this method is effective.

About this research paper

What this paper is about

A lot of pages on Internet are generated dynamically by the back-end databases, which can not be reached by the traditional search engines called Deep Web. This paper proposes an algorithm of Deep Web sources focused crawling. When evaluating the importance of hyperlinks, it takes into consideration relevance among page, topic, and link-related information. Experiments indicate that this method is effective.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Available abstract

A lot of pages on Internet are generated dynamically by the back-end databases, which can not be reached by the traditional search engines called Deep Web. This paper proposes an algorithm of Deep Web sources focused crawling. When evaluating the importance of hyperlinks, it takes into consideration relevance among page, topic, and link-related information. Experiments indicate that this method is effective.

Key concepts: Web crawler, Computer science, Hyperlink, Crawling, Deep Web, Focused crawler, World Wide Web, Relevance (law)

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