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
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;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
Conference_Location :
Athens, GA
Print_ISBN :
978-1-61284-209-7
Electronic_ISBN :
2161-3761
DOI :
10.1109/ICALT.2011.123