Detail publikace

Visual Area Classification for Article Identification in Web Documents

Originální název

Visual Area Classification for Article Identification in Web Documents

Anglický název

Visual Area Classification for Article Identification in Web Documents

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT35628,
  author="Radek {Burget}",
  title="Visual Area Classification for Article Identification in Web Documents",
  annote="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.",
  address="IEEE Computer Society",
  booktitle="21st International Workshop on Databases and Expert Systems Applications",
  chapter="35628",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Computer Society",
  year="2010",
  month="august",
  pages="171--175",
  publisher="IEEE Computer Society",
  type="conference paper"
}