Publication Details

Visual Area Classification for Article Identification in Web Documents

BURGET Radek. Visual Area Classification for Article Identification in Web Documents. In: 21st International Workshop on Databases and Expert Systems Applications. Bilbao: IEEE Computer Society, 2010, pp. 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 FIT BUT)
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
Conference
9th International Workshop on Web Semantics, Bilbao, ES
ISBN
978-0-7695-4174-7
Publisher
IEEE Computer Society
Place
Bilbao, ES
BibTeX 
@INPROCEEDINGS{FITPUB9292,
   author = "Radek Burget",
   title = "Visual Area Classification for Article Identification in Web Documents",
   pages = "171--175",
   booktitle = "21st International Workshop on Databases and Expert Systems Applications",
   year = 2010,
   location = "Bilbao, ES",
   publisher = "IEEE Computer Society",
   ISBN = "978-0-7695-4174-7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9292"
}
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