Research Article
Retrieve Main Content using Vision-base Web Page Segmentation with Gomory-Hu Tree
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 108 - Issue 17 |
| Published: December 2014 |
| Authors: Khaing Wah Wah Linn |
10.5120/19006-0547
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Khaing Wah Wah Linn . Retrieve Main Content using Vision-base Web Page Segmentation with Gomory-Hu Tree. International Journal of Computer Applications. 108, 17 (December 2014), 34-37. DOI=10.5120/19006-0547
@article{ 10.5120/19006-0547,
author = { Khaing Wah Wah Linn },
title = { Retrieve Main Content using Vision-base Web Page Segmentation with Gomory-Hu Tree },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 108 },
number = { 17 },
pages = { 34-37 },
doi = { 10.5120/19006-0547 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Khaing Wah Wah Linn
%T Retrieve Main Content using Vision-base Web Page Segmentation with Gomory-Hu Tree%T
%J International Journal of Computer Applications
%V 108
%N 17
%P 34-37
%R 10.5120/19006-0547
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The world wide (www) serves a huge, widely distributed global information services. A huge amount of data have been accumulated and stored on the web. The information on Web is usually presented via Hypertext Markup Language (HTML) to make its perception easier for humans. Web pages usually contain various contents, which are relevant or irrelevant to the main topic. Irrelevant contents are called noise. A web page usually contains the number of noise which is not related to the main information of the page such as navigation bar, advertisements, and related articles and so on. Noise on the web pages tends to problem mining the main content of these pages. This paper is proposed wed page segmentation using Gomory-Hu tree based Vision-based Page Segmentation (VIPS) algorithm.
References
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