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Semi-Automated Extraction of Targeted Data fromWeb Pages
Atlanta, Georgia April 03-April 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.13522nd International Conference on Data ...
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Fabrice Estievenart, Jean-Roch Meurisse, Jean-Luc Hainaut, Philippe Thiran, "Semi-Automated Extraction of Targeted Data fromWeb Pages," Data Engineering Workshops, 22nd International Conference on, pp. 48, 22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICDEW.2006.135,
author = {Fabrice Estievenart and Jean-Roch Meurisse and Jean-Luc Hainaut and Philippe Thiran},
title = {Semi-Automated Extraction of Targeted Data fromWeb Pages},
journal ={Data Engineering Workshops, 22nd International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2571-7},
pages = {48},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.135},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Engineering Workshops, 22nd International Conference on
TI - Semi-Automated Extraction of Targeted Data fromWeb Pages
SN - 0-7695-2571-7
SP
EP
A1 - Fabrice Estievenart,
A1 - Jean-Roch Meurisse,
A1 - Jean-Luc Hainaut,
A1 - Philippe Thiran,
PY - 2006
KW - null
VL - 0
JA - Data Engineering Workshops, 22nd International Conference on
ER -
 
Fabrice Estievenart, CETIC, Belgium
Jean-Roch Meurisse, University of Namur, Belgium
Jean-Luc Hainaut, University of Namur, Belgium
Philippe Thiran, University of Namur, Belguim
TheWorldWideWeb can be considered an infinite source of information for both individuals and organizations. Yet, if the main standard of publication on the Web (HTML) is quite suited to human reading, its poor semantics makes it difficult for computers to process and use embedded data in a smart and automated way.

In this paper, we propose to build a bridge between HTML documents and external applications by means of socalled mapping rules. Such rules mainly record a semantic interpretation of recurring types of information in a cluster of similar Web documents and their location in those documents. Relying on these rules, HTML-embedded data can be extracted towards a more computable format. The definition of mapping rules is based on direct user input mainly for the interpretation part, and on automatic computing for the location of data in HTML tree structures. This approach is supported by a user-friendly tool called Retrozilla.

Citation:
Fabrice Estievenart, Jean-Roch Meurisse, Jean-Luc Hainaut, Philippe Thiran, "Semi-Automated Extraction of Targeted Data fromWeb Pages," icdew, pp.48, 22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006
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