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Title: Metadata Aware Peer-to-Peer Agents for the e-Learner
Author(s): F. Kokkoras, I. Vlahavas.
Availability: Click here to download the PDF (Acrobat Reader) file (10 pages).
Keywords: Educational Metadata, Conceptual Graphs, e-Learning, LOM.
Appeared in: A "Hercma03" Symposium on "AI Techniques in e-Learning", accepted for publication, Athens, Greece, 2003.
Abstract: Metadata, being the first building block of the emerging semantic web, will enable computers to understand what the accessed information is all about, allowing in that way the building of advanced web services. The e-Learning domain is one of the first that is benefited by the definition, among others, of the Learning Object Metadata (LOM). From another perspective, the distributed nature of the web suggests that agent technologies will play a key role towards the use of these metadata. In this paper, we detail a Conceptual Graph (CG) binding of LOM (CG/LOM) and present the eLPA, a knowledge based, client side, metadata aware, peer-to-peer agent, that relies solely on the CG knowledge representation formalism. eLPA serves primarily as a personal memory agent for the e-learner.
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