Publication Details

Visual Area Classification for Article Identification in Web Documents

BURGET, R. Visual Area Classification for Article Identification in Web Documents. 21st International Workshop on Databases and Expert Systems Applications. Bilbao: IEEE Computer Society, 2010. p. 171-175. ISBN: 978-0-7695-4174-7.

Czech title

Vizuální klasifikace pro identifikaci článků ve webových dokumentech

Type

conference paper

Language

English

Authors

Burget Radek, doc. Ing., Ph.D. (DIFS)

Keywords

article extraction, document cleaning, page segmentation, visual analysis

Abstract

In the World Wide Web, the news and other articles are usually published in complex HTML documents containing many types of additional information that is not explicitly marked. In this paper, we propose a visual information analysis approach to the article discovery in complex HTML documents. We use a classification approach for the identification the important parts of the article within the page and we propose an algorithm for the detection of the article bounds within the page. Finally, we provide the results of an experimental evaluation.

Published

2010

Pages

171–175

Proceedings

21st International Workshop on Databases and Expert Systems Applications

ISBN

978-0-7695-4174-7

Publisher

IEEE Computer Society

Place

Bilbao

BibTeX

@inproceedings{BUT35628,
  author="Radek {Burget}",
  title="Visual Area Classification for Article Identification in Web Documents",
  booktitle="21st International Workshop on Databases and Expert Systems Applications",
  year="2010",
  pages="171--175",
  publisher="IEEE Computer Society",
  address="Bilbao",
  isbn="978-0-7695-4174-7"
}