Title :
A RDF description model for manipulating learning objects
Author :
Bouzeghoub, Amel ; Defude, Bruno ; Ammour, Salah ; Duitama, John-Freddy ; Leco, Claire
Author_Institution :
GET/INT, Evry, France
fDate :
30 Aug.-1 Sept. 2004
Abstract :
Our claim is that semantic metadata are required to allow a real reusing and assembling of learning objects. Our system is based on three models used to describe the knowledge domain, users and learning objects. In order to automatically process these models and make available basic reasoning capabilities, we have defined mappings to RDF. A prototype is being developed using Sesame, an RDF tool that supports the declarative query language SeRQL. This paper focuses on RDF mappings definition and how to use SeRQL to achieve the functionality required by our approach.
Keywords :
computer aided instruction; formal specification; inference mechanisms; meta data; query languages; RDF description model; RDF mappings; SeRQL; Sesame; declarative query language; learning object assembly; learning object manipulation; learning object reuse; reasoning capabilities; semantic metadata; Assembly; Database languages; Microstrip; OWL; Power system modeling; Proposals; Prototypes; Resource description framework; Semantic Web;
Conference_Titel :
Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on
Print_ISBN :
0-7695-2181-9
DOI :
10.1109/ICALT.2004.1357379
