文章基本信息

标题：Deep Web Mining Formulated With Information Administration Systems
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作者：Dr. Brijesh Khandelwal ; Dr. S. Q. Abbas ; Dr. Parul Verma 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：12
出版社：S&S Publications
摘要：Most of the Web's information is buried far down on sites, and standard search engines do not find it.Traditional search engines cannot see or retrieve content in the deep Web. The portion of the Web that is indexed bystandard search engines is known as the Web. Most Web structures are large and complicated and users often miss thepurpose of their inquiry, or get ambiguous results when they try to navigate through them. Internet is enormouscompilation of multivariate data. Several problems prevent effective and efficient information discovery for requiredbetter information administration systems it is important to retrieve accurate and complete data. The deep Web, alsoknown as the deep invisible web has given rise to a novel issue of deep web mining research. An enormous amount ofdocuments in the hidden web, as well as pages hidden behind search forms, specialized databases, and dynamicallygenerated Web pages, are not accessible by universal Deep web mining application. In this research paper we haveproposed a system that has an ability to access the deep web information using web structured mining systems forbetter intelligent information administration system resulting for effective and efficient information retrieval.
关键词：Deep web; Information administration; information collection; information work model; web mining