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| dc.contributor.author | Prieta Pintado, Fernando de la | |
| dc.contributor.author | Gil González, Ana Belén | |
| dc.contributor.author | Sánchez Martín, Antonio Juan | |
| dc.contributor.author | Zato Domínguez, Davinia Carolina | |
| dc.date.accessioned | 2017-09-06T09:05:08Z | |
| dc.date.available | 2017-09-06T09:05:08Z | |
| dc.date.issued | 2014/06 | |
| dc.identifier.citation | Methodologies and Intelligent Systems for Technology Enhanced Learning Advances in Intelligent Systems and Computing. Volumen 292, pp. 93-100. | |
| dc.identifier.isbn | 978-3-319-07697-3 (Print) / 978-3-319-07698-0 (Online) | |
| dc.identifier.issn | 2194-5357 | |
| dc.identifier.uri | http://hdl.handle.net/10366/134509 | |
| dc.description.abstract | The education sector is a significant generator, consumer and depository for educational content. Educators and Learners have access to technologies that allow them to obtain information ubiquitously on demand. The problems arising from the integration of educational content are usually caused by the vast amount of educational content distributed among several repositories. This work presents a proposal for an architecture based on a cloud computing paradigm that will permit the evolution of current learning resource repositories by means of cloud computing paradigm and the integration of federated search system. | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.publisher | Springer Science + Business Media | |
| dc.subject | Computer Science | |
| dc.title | Learning Object Repositories with Federated Searcher over the Cloud | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess |
