Detail publikace

Automatic Web Document Restructuring Based on Visual Information Analysis

Originální název

Automatic Web Document Restructuring Based on Visual Information Analysis

Anglický název

Automatic Web Document Restructuring Based on Visual Information Analysis

Jazyk

en

Originální abstrakt

Many documents available on the current web have quite a complex structure that allows to present various kinds of information. Apart from the main content, the documents usually contain headers and footers, navigation sections and other types of additional information. For many applications such as document indexing or browsing on special devices, it is desirable that the main document information should precede the additional information in the underlying HTML code. In this paper, we propose a method of document preprocessing that automatically restructures the document code according to this criteria. Our method is based on rendered document analysis. A page segmentation algorithm is used for detecting the basic blocks on the page and the relevance of the individual parts is estimated from the visual properties of the text content.

Anglický abstrakt

Many documents available on the current web have quite a complex structure that allows to present various kinds of information. Apart from the main content, the documents usually contain headers and footers, navigation sections and other types of additional information. For many applications such as document indexing or browsing on special devices, it is desirable that the main document information should precede the additional information in the underlying HTML code. In this paper, we propose a method of document preprocessing that automatically restructures the document code according to this criteria. Our method is based on rendered document analysis. A page segmentation algorithm is used for detecting the basic blocks on the page and the relevance of the individual parts is estimated from the visual properties of the text content.

BibTex


@inproceedings{BUT30224,
  author="Radek {Burget}",
  title="Automatic Web Document Restructuring Based on Visual Information Analysis",
  annote="Many documents available on the current web have quite a complex structure that
allows to present various kinds of information. Apart from the main content, the
documents usually contain headers and footers, navigation sections and other
types of additional information. For many applications such as document indexing
or browsing on special devices, it is desirable that the main document
information should precede the additional information in the underlying HTML
code. In this paper, we propose a method of document preprocessing that
automatically restructures the document code according to this criteria. Our
method is based on rendered document analysis. A page segmentation algorithm is
used for detecting the basic blocks on the page and the relevance of the
individual parts is estimated from the visual properties of the text content.",
  address="Springer Verlag",
  booktitle="Advances in Intelligent Web Mastering - 2, Proceedings of the 6th Atlantic Web Intelligence Conference - AWIC'2009",
  chapter="30224",
  doi="10.1007/978-3-642-10687-3_6",
  edition="Advances in Intelligent and Soft Computing , Vol. 67",
  howpublished="print",
  institution="Springer Verlag",
  year="2010",
  month="january",
  pages="61--70",
  publisher="Springer Verlag",
  type="conference paper"
}