Title :
Combining the semantic and the social web for intelligent learning systems
Author :
Ghenname, Mérième ; Ajhoun, Rachida ; Gravier, Christophe ; Subercaze, Julien
Author_Institution :
Equipe de Rech. LeRMA, Ecole Nat. Super. d´´Inf. et d´´Anal. des Syst. (ENSIAS), Paris, France
Abstract :
Over the last decade, two new facets of the Web emerged. On one hand, the Semantic Web provides data structures in order to break meanings barriers between distributed and heterogeneous data sources presents on the Web. On the other hand, the Social Web helps in clustering Web users into communities, and let them be prosumers of their Web experience. Both visions encompass many online applications, including Education. On the question of what is really the next stage of Web developments for Education, authors usually focus on a single of these two facets of the Web. As few studies have tried to combine them for an educational purpose this paper aims at giving an insight on the pioneers´ works and the opportunities raised by mixing the Social and the Semantic Web for education.
Keywords :
intelligent tutoring systems; semantic Web; data structures; distributed data sources; educational purpose; heterogeneous data sources; intelligent learning systems; semantic Web; social Web; Collaboration; Education; Ontologies; Semantic Web; Semantics; Social network services; Learning process; Semantic Web; Social Web; active systems; personalized learning; recommendation of contents;
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2012 IEEE
Conference_Location :
Marrakech
Print_ISBN :
978-1-4673-1457-2
Electronic_ISBN :
2165-9559
DOI :
10.1109/EDUCON.2012.6201047