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Structure based Data Extraction from Hidden Web Sources: A Review

by Anuradha, A.K.Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 3
Year of Publication: 2011
Authors: Anuradha, A.K.Sharma
10.5120/3010-4060

Anuradha, A.K.Sharma . Structure based Data Extraction from Hidden Web Sources: A Review. International Journal of Computer Applications. 25, 3 ( July 2011), 32-37. DOI=10.5120/3010-4060

@article{ 10.5120/3010-4060,
author = { Anuradha, A.K.Sharma },
title = { Structure based Data Extraction from Hidden Web Sources: A Review },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 3 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number3/3010-4060/ },
doi = { 10.5120/3010-4060 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:49.594388+05:30
%A Anuradha
%A A.K.Sharma
%T Structure based Data Extraction from Hidden Web Sources: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 3
%P 32-37
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to extract data from the web pages of Hidden web sources, many semi-automatic and automatic techniques are proposed based on structure and tags of HTML documents. These techniques include machine learning and schema- matching approaches to solve the problem of data extraction. This paper discusses the research that has been done in the area of data extraction from Hidden Web sources. The goal of this paper is to discuss the advantages and disadvantages of currently existing techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Surface Web Hidden Web Information Extraction

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