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A Multi-agent System that Searches for Learning Objects in Heterogeneous Repositories: Profile on PlumX
Título : A Multi-agent System that Searches for Learning Objects in Heterogeneous Repositories
Autor(es) : de La Prieta Pintado, Fernando
Gil González, Ana Belén
Palabras clave : Computer Science
Fecha de publicación : 2010
Editor : Springer Science + Business Media
Citación : Trends in Practical Applications of Agents and Multiagent Systems Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 71, pp. 355-362.
Resumen : This paper presents the BRENHET application, which introduces a new concept in searching for educational resources by using a learning object paradigm that describes these resources. The application is composed of a complete agent-based architecture that implements the concept of federated search. It can search different repositories in parallel, and is based on abstraction layers between the repositories and the search clients.
URI : http://hdl.handle.net/10366/134930
ISBN : 978-3-642-12432-7 (Print) / 978-3-642-12433-4 (Online)
ISSN : 1867-5662(Print)/ 1867-5670(Online)
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