Please use this identifier to cite or link to this item: http://ir.inflibnet.ac.in/handle/1944/580
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dc.contributor.authorG Rathinasabapathyen_US
dc.date.accessioned2007-07-06T09:39:49Zen_US
dc.date.accessioned2010-04-08T09:16:06Z-
dc.date.available2007-07-06T09:39:49Zen_US
dc.date.available2010-04-08T09:16:06Z-
dc.date.issued2007-02-08en_US
dc.identifier.isbn81-902079-1-1en_US
dc.identifier.urihttp://hdl.handle.net/1944/580en_US
dc.description.abstractInvisible Web which is also known as ‘Deep Web’ or ‘Hidden Web’ refer to information content that is ‘invisible’ to conventional search engines. Public information on the invisible web is currently around 500 times larger than the commonly defined World Wide Web. Nearly 550 billion individual documents are available in the invisible web while the surface web has around only one billion documents. It has been estimated that around 2,00,000 invisible web sites exist on the Information Superhighway at present and is the largest growing category of new information on the Internet. The total quality content of the invisible web is also greater than that of the surface web and highly relevant to every information need, market and domain. But, a larger portion of the invisible web is missing from search engines’ results pages. In this context, this paper attempts to characterize the deep web’s content and relevance to information seekers and profile special tools available to mine the invisible web.en_US
dc.format.extent92529 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherINFLIBNET Centreen_US
dc.subjectInvisible Weben_US
dc.subjectHidden Weben_US
dc.subjectDeep Weben_US
dc.subjectKnowledge Discovery Toolen_US
dc.subjectSearch Enginesen_US
dc.titleInvisible Web and Knowledge Discovery Tools: A Studyen_US
dc.typeArticleen_US
Appears in Collections:CALIBER 2007:Chandigarh

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