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dc.contributor.authorPrieta Pintado, Fernando de la 
dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorRodríguez Marín, Paula
dc.contributor.authorDuque Méndez, Nestor D.
dc.date.accessioned2017-09-06T09:14:00Z
dc.date.available2017-09-06T09:14:00Z
dc.date.issued2013
dc.identifier.citationAdvances in Intelligent Systems and Computing Management Intelligent Systems. Advances in Intelligent Systems and Computing. Volumen 220, pp. 99-106.
dc.identifier.isbn978-3-319-00568-3 (Print) / 978-3-319-00569-0 (Online)
dc.identifier.issn2194-5357 (Print) / 2194-5365 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134830
dc.description.abstractThis work presents a proposal for an architecture based on a cloud computing paradigm that will permit the evolution of current learning resource repositories. This study presents current problems (heterogeneity, interoperability and low performance) of existing repositories, as well as how the proposed model will try to solve them.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.subjectComputer Science
dc.titleA New Generation of Learning Object Repositories Based on Cloud Computing
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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