Please use this identifier to cite or link to this item: http://hdl.handle.net/10366/134919
Hybrid Multiagent System for Automatic Object Learning Classification: Profile on PlumX
Title: Hybrid Multiagent System for Automatic Object Learning Classification
Authors: Gil González, Ana Belén
de La Prieta Pintado, Fernando
López, Vivian
Keywords: Computer Science
Issue Date: 2010
Publisher: Springer Science + Business Media
Citation: Hybrid Artificial Intelligence Systems Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 6077, pp. 61-68.
Abstract: The rapid evolution within the context of e-learning is closely linked to international efforts on the standardization of learning object metadata, which provides learners in a web-based educational system with ubiquitous access to multiple distributed repositories. This article presents a hybrid agent-based architecture that enables the recovery of learning objects tagged in Learning Object Metadata (LOM) and provides individualized help with selecting learning materials to make the most suitable choice among many alternatives.
URI: http://hdl.handle.net/10366/134919
ISBN: 978-3-642-13802-7 (Print) / 978-3-642-13803-4 (Online)
ISSN: 0302-9743 (Print) / 1611-3349 (Online)
Appears in Collections:BISITE. Congresos

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