DocumentCode
2871570
Title
Ontologies and Knowledge Aggregation in the Active Semantic Learning System
Author
Szilagyi, Ioan ; Balog-Crisan, Radu ; Roxin, Ana ; Roxin, Ioan
Author_Institution
ASELDI, Univ. of Franche-Comte, Montbeliard, France
fYear
2011
fDate
6-8 July 2011
Firstpage
388
Lastpage
392
Abstract
The construction of semantic-based learning systems depends on the development of ontologies and the capacity to integrate and exploit knowledge using semantic technologies, notably RDF and ontologies. In this paper we present some of the concepts and ontologies defined in the Active Semantic Learning System (Active SLS). The purpose is to obtain a learning system that is capable of aggregating knowledge from different sources from the web and exploiting that knowledge for the benefit of the learner.
Keywords
computer aided instruction; knowledge representation languages; ontologies (artificial intelligence); semantic Web; RDF; active semantic learning system; knowledge aggregation; ontologies; semantic Web; Bridges; Context; Learning systems; Ontologies; Resource description framework; Semantics; Active SLS; LOM; OWL; RDF; User Profile; knowledge; ontologies; semantic learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
Conference_Location
Athens, GA
ISSN
2161-3761
Print_ISBN
978-1-61284-209-7
Electronic_ISBN
2161-3761
Type
conf
DOI
10.1109/ICALT.2011.123
Filename
5992373
Link To Document