Result 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.
Type
conference paper
Language
English
Authors
Burget Radek, doc. Ing., Ph.D., DIFS (FIT)
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.

Keywords

article extraction, document cleaning, page segmentation, visual analysis

Published
2010
Pages
171–175
Proceedings
21st International Workshop on Databases and Expert Systems Applications
Conference
9th International Workshop on Web Semantics
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"
}
Projects
Recognition and presentation of multimedia data, BUT, Vnitřní projekty VUT, FIT-S-10-2, 2010, start: 2010-04-01, end: 2010-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Information and Database Systems Research Group (RG IS)
Departments
Department of Information Systems (DIFS)
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