DocumentCode
1923704
Title
Ontology-based interface adaptivity in Web-based learning systems
Author
Peñarrubia, Arturo ; Fernández-Caballero, Antonio ; González, Pascual ; Botella, Federico ; Grau, Antonio ; Martínez, Oscar
Author_Institution
Instituto de Investigacion en Informatica de Albacete, Univ. de Castilla-La Mancha, Albacete, Spain
fYear
2004
fDate
30 Aug.-1 Sept. 2004
Firstpage
435
Lastpage
439
Abstract
Along this document, we expose how user interface adaptivity principles may contribute to improve present Web learning systems. If we are able to establish some student features, based on the documents he has consulted, we can easily guide him through our Web site. In order to collect that information, the Web site considers the metadata associated with each document. Once this information has been obtained, the interface recommends the site documents that are the most tailored to the student´s interests. Our proposal consists in mixing the main ideas inherent to user profiling, semantic Web, metadata, and ontologies. The framework supporting the initiative is also introduced in this paper.
Keywords
computer aided instruction; information filtering; meta data; ontologies (artificial intelligence); semantic Web; user interfaces; Web-based learning systems; metadata; ontology-based interface adaptivity; semantic Web; site document recommendation; user interface adaptivity; user profiling; Guidelines; Human computer interaction; Laboratories; Learning systems; Navigation; Ontologies; Operations research; Proposals; Software engineering; User interfaces;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on
Print_ISBN
0-7695-2181-9
Type
conf
DOI
10.1109/ICALT.2004.1357452
Filename
1357452
Link To Document