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Reseach Article

Web Content Mining Techniques: A Survey

by Faustina Johnson, Santosh Kumar Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 11
Year of Publication: 2012
Authors: Faustina Johnson, Santosh Kumar Gupta

Faustina Johnson, Santosh Kumar Gupta . Web Content Mining Techniques: A Survey. International Journal of Computer Applications. 47, 11 ( June 2012), 44-50. DOI=10.5120/7236-0266

@article{ 10.5120/7236-0266,
author = { Faustina Johnson, Santosh Kumar Gupta },
title = { Web Content Mining Techniques: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 11 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 44-50 },
numpages = {9},
url = { },
doi = { 10.5120/7236-0266 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:41:38.428975+05:30
%A Faustina Johnson
%A Santosh Kumar Gupta
%T Web Content Mining Techniques: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 11
%P 44-50
%D 2012
%I Foundation of Computer Science (FCS), NY, USA

The Quest for knowledge has led to new discoveries and inventions. With the emergence of World Wide Web, it became a hub for all these discoveries and inventions. Web browsers became a tool to make the information available at our finger tips. As years passed World Wide Web became overloaded with information and it became hard to retrieve data according to the need. Web mining came as a rescue for the above problem. Web content mining is a subdivision under web mining. This paper deals with a study of different techniques and pattern of content mining and the areas which has been influenced by content mining. The web contains structured, unstructured, semi structured and multimedia data. This survey focuses on how to apply content mining on the above data. It also points out how web content mining can be utilized in web usage mining.

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Index Terms

Computer Science
Information Sciences


Web Content Mining Web Usage Mining Structured Data Unstructured Data Semi-structured Data Multimedia Data