Paper Info
Title
Accessing the Distributed Learner Profile in the Semantic Web
Abstract
Adaptive e-learning systems need to get complete learner profile to make efficient personalization. However, learner profile is dispersed over multiple heterogeneous e-learning systems. Unfortunately, these e-learning systems are heterogeneous what makes difficult to get complete learner profile. By using semantic web technology, namely Topic Maps, we show how we perform integration of heterogeneous fragments of learner profile to get more complete one. However, this technology does not consider constraints and is not able to make reasoning. So we use, together with Topic Maps, Description Logics to represent constraints and make reasoning over integrated data.
Year
DOI
Venue
2008
10.1007/978-3-540-85563-7_60
KES (1)
Keywords
Field
DocType
multiple heterogeneous e-learning system,efficient personalization,learner profile,adaptive e-learning system,heterogeneous fragment,semantic web,e-learning system,description logics,semantic web technology,complete learner profile,topic maps,description logic
Information retrieval,Semantic Web Stack,Computer science,Description logic,Semantic Web,Social Semantic Web,Personalization,Topic Maps
Conference
Volume
ISSN
Citations 
5177
0302-9743
0
PageRank 
References 
Authors
0.34
6
1
Name
Order
Citations
PageRank
Mourad Ouziri1269.81