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Knowledge base Construction using Hidden Web Retrieval Technique

by Shrina Patel, Amit Ganatar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 11
Year of Publication: 2015
Authors: Shrina Patel, Amit Ganatar
10.5120/20025-2078

Shrina Patel, Amit Ganatar . Knowledge base Construction using Hidden Web Retrieval Technique. International Journal of Computer Applications. 114, 11 ( March 2015), 30-36. DOI=10.5120/20025-2078

@article{ 10.5120/20025-2078,
author = { Shrina Patel, Amit Ganatar },
title = { Knowledge base Construction using Hidden Web Retrieval Technique },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 11 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number11/20025-2078/ },
doi = { 10.5120/20025-2078 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:30.940745+05:30
%A Shrina Patel
%A Amit Ganatar
%T Knowledge base Construction using Hidden Web Retrieval Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 11
%P 30-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Relations of algorithms for hidden web-focused information retrieval develop with it. When the stage the information retrieval, a huge difficulty arises and that is the information that one hidden web page can enclose manifold areas with extremely dissimilar information content. Hence the page has to be split into measurement and these parts examined separately for the results to be more precise. Web page segmentation and correlated technique have Therefore this paper suggests a combined approach that creates use of structural features and the visual features. It build a visual DOM tree on which the data records are recognized based on their structural similarity . The structure of these data records are reserved so that personage data items can be group effortlessly and precisely based on their visual features Which hidden web source do we intend at the information indispensable to access the data at the back web form and the type of interface. We proposed algorithm narrative vision based page segmentation (NVIPS) and also comparison DOM tree, VIPS.

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Index Terms

Computer Science
Information Sciences

Keywords

Hidden web crawling web database DOM tree VIPS VIPS

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