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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: © 2018 |Pages: 24
ISBN13: 9781522531630|ISBN10: 1522531637|EISBN13: 9781522531647
DOI: 10.4018/978-1-5225-3163-0.ch007
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MLA

Sharma, Dilip Kumar, and A. K. Sharma. "Deep Web Information Retrieval Process: A Technical Survey." The Dark Web: Breakthroughs in Research and Practice, edited by Information Resources Management Association, IGI Global, 2018, pp. 114-137. https://doi.org/10.4018/978-1-5225-3163-0.ch007

APA

Sharma, D. K. & Sharma, A. K. (2018). Deep Web Information Retrieval Process: A Technical Survey. In I. Management Association (Ed.), The Dark Web: Breakthroughs in Research and Practice (pp. 114-137). IGI Global. https://doi.org/10.4018/978-1-5225-3163-0.ch007

Chicago

Sharma, Dilip Kumar, and A. K. Sharma. "Deep Web Information Retrieval Process: A Technical Survey." In The Dark Web: Breakthroughs in Research and Practice, edited by Information Resources Management Association, 114-137. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3163-0.ch007

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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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