A Semi-Automatic Tool for Personalizing and Reusing Web Learning Resources

Author

Babu, Doina ; Doan, Bich-Liên ; Bourda, Yolaine

Author_Institution

"Politehnica" Univ. of Bucharest, Bucharest

fYear

2007

fDate

18-20 July 2007

Firstpage

127

Lastpage

129

Abstract

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.

Keywords

Internet; computer aided instruction; graph grammars; ontologies (artificial intelligence); pattern matching; HTML content; Web learning resource; Web pages; grammar matching; ontology; personalized learning object; semiautomatic tool extraction; Data mining; Educational institutions; HTML; Internet; Navigation; Ontologies; Resource description framework; Testing; Web pages; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on

Conference_Location

Niigata

Print_ISBN

0-7695-2916-X

Type

conf

DOI

10.1109/ICALT.2007.36

Filename

4280970