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dc.contributor.authorLópez Barriuso, Alberto 
dc.contributor.authorPrieta Pintado, Fernando de la 
dc.contributor.authorLozano Murciego, Álvaro 
dc.contributor.authorHernández de la Iglesia, Daniel
dc.contributor.authorRevuelta Herrero, Jorge
dc.date.accessioned2017-09-05T10:59:17Z
dc.date.available2017-09-05T10:59:17Z
dc.date.issued2015
dc.identifier.citationAdvances in Distributed Computing and Artificial Intelligence Journal. Volumen 4 (4), pp. 23-34. Ediciones Universidad de Salamanca.
dc.identifier.issn2255-2863
dc.identifier.urihttp://hdl.handle.net/10366/134281
dc.description.abstractNowadays, the vertiginous progress of technology has led society to demand lower response times in general, but in press in particular. For this reason, media groups have to face a big challenge in order to facilitate their employees the technical means that enable professionals in the media sector to face the new communication models. In this article, we face this problem and present a novel system based on Virtual Organizations of agents and Cloud Computing in order to improve the organization, management and distribution of media contents.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherEdiciones Universidad de Salamanca
dc.subjectComputer Science
dc.titleJOUR-MAS: a multi-agent system approach to help journalism management
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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