A Multi-agent System that Searches for Learning Objects in Heterogeneous Repositories

Título

dc.contributor.author	Prieta Pintado, Fernando de la
dc.contributor.author	Gil González, Ana Belén
dc.date.accessioned	2017-09-06T09:14:57Z
dc.date.available	2017-09-06T09:14:57Z
dc.date.issued	2010
dc.identifier.citation	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.
dc.identifier.isbn	978-3-642-12432-7 (Print) / 978-3-642-12433-4 (Online)
dc.identifier.issn	1867-5662(Print)/ 1867-5670(Online)
dc.identifier.uri	http://hdl.handle.net/10366/134930
dc.description.abstract	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.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Science + Business Media
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	A Multi-agent System that Searches for Learning Objects in Heterogeneous Repositories
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess