Deep Web Information Retrieval Process-Reference-Cited by-同舟云学术

Deep Web Information Retrieval Process

Published:2010-01 Issue:1 Volume:5 Page:1-22
ISSN:1554-1045
Container-title:International Journal of Information Technology and Web Engineering
language:en
Short-container-title:

Author:

Sharma Dilip Kumar¹,Sharma A. K.²

Affiliation:

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

2. 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.

Publisher

IGI Global

Subject

General Computer Science

Reference53 articles.

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