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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 5 Issue 11, November 2016

Automatic Retrieval System for Domain Specific Hidden Web Database

Megha Saini | Dr. Mukesh Rawat

Abstract: As the size of WWW is growing daily, lots of relevant information are available in the form of hypertext in WWW. Users can view publicalyindexible pages of any web portal and some information viewed after filling of the appropriate search interfaces. Vast information is available behind the search interfaces known as hidden data. Different search engines are using different techniques for fetching such deep information from the WWW and sent to the users according to their queries. The purpose of fetching such deep information is to provide a large set of relevant result to the user according to their search query. In this paper, a new and innovative methodology suggested for automatic filling of search forms and then submit the form to the WWW and collect the response pages which will be send back after automatic submission of the form and then filter out relevant pages from these response pages according to the user query.

Keywords: Search engine, crawlers, hidden deep web

Edition: Volume 5 Issue 11, November 2016,

Pages: 1962 - 1963

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