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Deep Web Information Retrieval Process: A Technical Survey

Author

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  • Dilip Kumar Sharma

    (G.L.A. Institute of Technology and Management, Mathura, U. P., India)

  • A. K. Sharma

    (YMCA University of Science and Technology, Faridabad, Haryana, India)

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 article, 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.

Suggested Citation

  • Dilip Kumar Sharma & A. K. Sharma, 2010. "Deep Web Information Retrieval Process: A Technical Survey," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 5(1), pages 1-22, January.
    • Handle: RePEc:igg:jitwe0:v:5:y:2010:i:1:p:1-22
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