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Publication detail
BURGET, R.
Original Title
Automatic Web Document Restructuring Based on Visual Information Analysis
Type
conference paper
Language
English
Original Abstract
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.
Keywords
document restructuring, page analysis, page segmentation, block importance
Authors
RIV year
2009
Released
20. 1. 2010
Publisher
Springer Verlag
Location
Prague
ISBN
978-3-642-10686-6
Book
Advances in Intelligent Web Mastering - 2, Proceedings of the 6th Atlantic Web Intelligence Conference - AWIC'2009
Edition
Advances in Intelligent and Soft Computing , Vol. 67
Pages from
61
Pages to
70
Pages count
10
BibTex
@inproceedings{BUT30224, author="Radek {Burget}", title="Automatic Web Document Restructuring Based on Visual Information Analysis", booktitle="Advances in Intelligent Web Mastering - 2, Proceedings of the 6th Atlantic Web Intelligence Conference - AWIC'2009", year="2010", series="Advances in Intelligent and Soft Computing , Vol. 67", pages="61--70", publisher="Springer Verlag", address="Prague", doi="10.1007/978-3-642-10687-3\{_}6", isbn="978-3-642-10686-6" }