loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)
A Semi-Automatic Tool for Personalizing and Reusing Web Learning Resources
Niigata, Japan
July 18-July 20
ISBN: 0-7695-2916-X
ASCII Text
x 
 
Doina Babu, Bich-Li?n Doan, Yolaine Bourda, "A Semi-Automatic Tool for Personalizing and Reusing Web Learning Resources," Advanced Learning Technologies, IEEE International Conference on, pp. 127-129, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/ICALT.2007.36,
author = {Doina Babu and Bich-Li?n Doan and Yolaine Bourda},
title = {A Semi-Automatic Tool for Personalizing and Reusing Web Learning Resources},
journal ={Advanced Learning Technologies, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2916-X},
pages = {127-129},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICALT.2007.36},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Learning Technologies, IEEE International Conference on
TI - A Semi-Automatic Tool for Personalizing and Reusing Web Learning Resources
SN - 0-7695-2916-X
SP127
EP129
A1 - Doina Babu,
A1 - Bich-Li?n Doan,
A1 - Yolaine Bourda,
PY - 2007
KW - null
VL - 0
JA - Advanced Learning Technologies, IEEE International Conference on
ER -
 
Doina Babu, "Politehnica" University of Bucharest, Romania
Bich-Li?n Doan, Supelec, France
Yolaine Bourda, Supelec, France
This paper presents a flexible and semi-automatic extractor to build personalized learning objects. The extraction is made using an ontology and a matching grammar defined by the user. The ontology describes the concepts/classes and the relations between these concepts/classes. The learning objects we want to obtain from the web pages are instances of the ontology. The grammar describes rules for matching the ontology concepts/classes to the HTML content. Its rules apply to both HTML format and text. The result is a graph of objects matched in the HTML files, objects that are instances of the concepts/classes in ontology.
Citation:
Doina Babu, Bich-Li?n Doan, Yolaine Bourda, "A Semi-Automatic Tool for Personalizing and Reusing Web Learning Resources," icalt, pp.127-129, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.