Publication detail

Visual Area Classification for Article Identification in Web Documents

BURGET, R.

Original Title

Visual Area Classification for Article Identification in Web Documents

Type

article in a collection out of WoS and Scopus

Language

English

Original 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

Authors

BURGET, R.

RIV year

2010

Released

30. 8. 2010

Publisher

IEEE Computer Society

Location

Bilbao

ISBN

978-0-7695-4174-7

Book

21st International Workshop on Databases and Expert Systems Applications

Pages from

171

Pages to

175

Pages count

5

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"
}