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Deep Web Information Retrieval Process: A Technical Survey

Deep Web Information Retrieval Process: A Technical Survey

Dilip Kumar Sharma, A. K. Sharma
Copyright: © 2012 |Pages: 22
ISBN13: 9781466600232|ISBN10: 1466600233|EISBN13: 9781466600249
DOI: 10.4018/978-1-4666-0023-2.ch005
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MLA

Sharma, Dilip Kumar, and A. K. Sharma. "Deep Web Information Retrieval Process: A Technical Survey." Models for Capitalizing on Web Engineering Advancements: Trends and Discoveries, edited by Ghazi Alkhatib, IGI Global, 2012, pp. 75-96. https://doi.org/10.4018/978-1-4666-0023-2.ch005

APA

Sharma, D. K. & Sharma, A. K. (2012). Deep Web Information Retrieval Process: A Technical Survey. In G. Alkhatib (Ed.), Models for Capitalizing on Web Engineering Advancements: Trends and Discoveries (pp. 75-96). IGI Global. https://doi.org/10.4018/978-1-4666-0023-2.ch005

Chicago

Sharma, Dilip Kumar, and A. K. Sharma. "Deep Web Information Retrieval Process: A Technical Survey." In Models for Capitalizing on Web Engineering Advancements: Trends and Discoveries, edited by Ghazi Alkhatib, 75-96. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0023-2.ch005

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Abstract

Web crawlers specialize in downloading web content and analyzing and indexing from surface web, consisting of interlinked HTML pages. Web crawlers have limitations if the data is behind the query interface. Response depends on the querying party’s context in order to engage in dialogue and negotiate for the information. In this paper, the authors discuss deep web searching techniques. A survey of technical literature on deep web searching contributes to the development of a general framework. Existing frameworks and mechanisms of present web crawlers are taxonomically classified into four steps and analyzed to find limitations in searching the deep web.

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