Deep Web Information Retrieval Process: A Technical Survey

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Author(s): Dilip Kumar Sharma (G.L.A. Institute of Technology and Management, Mathura, India)and A. K. Sharma (YMCA University of Science and Technology, Faridabad, India)
Copyright: 2018
Pages: 24
Source title: The Dark Web: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-3163-0.ch007

Keywords: Computer Science & IT / Information Science Reference / Web Technologies / Web Technologies & Engineering

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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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Deep Web Information Retrieval Process: A Technical Survey

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