Detail publikace

Accelerating the process of web page segmentation via template clustering

ZELENÝ, J. BURGET, R.

Originální název

Accelerating the process of web page segmentation via template clustering

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

Segmenting a web page is often one of the initial steps when performing some data mining on that page. We acknowledge that there is a lot of research in the area of segmentation based on visual perception of the web page. In this paper we propose a method how to improve the efficiency of virtually all vision-based segmentation algorithms. Our method, called Cluster-based Page Segmentation, takes the widely spread concept of web templates and utilizes it to improve the efficiency of vision-based page segmentation by clustering web pages and performing the segmentation on the cluster instead of on each page in that cluster. To prove the efficiency of our algorithm we offer experimental results gathered using three different vision-based segmentation algorithms.

Klíčová slova

VIPS, page segmentation, vision-based page segmentation, web page segmentation, web page preprocessing, segmentation performance, clustering, template, template detection

Autoři

ZELENÝ, J.; BURGET, R.

Vydáno

21. 3. 2016

ISSN

1751-5858

Periodikum

International Journal of Intelligent Information and Database System

Ročník

2016

Číslo

2

Stát

Švýcarská konfederace

Strany od

134

Strany do

153

Strany počet

20

URL

https://www.fit.vut.cz/research/publication/10530/

BibTex

@article{BUT130902,
  author="Jan {Zelený} and Radek {Burget}",
  title="Accelerating the process of web page segmentation via template clustering",
  journal="International Journal of Intelligent Information and Database System",
  year="2016",
  volume="2016",
  number="2",
  pages="134--153",
  doi="10.1504/IJIIDS.2016.075424",
  issn="1751-5858",
  url="https://www.fit.vut.cz/research/publication/10530/"
}