Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/handle/123456789/18704
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dc.contributor.authorAguilar Castro, J.es_ES
dc.date.accessioned2017-06-16T22:02:14Z-
dc.date.available2017-06-16T22:02:14Z-
dc.date.issued2016-10-20es_ES
dc.date.submitted20/10/2016es_ES
dc.identifier10.1007/978-3-319-48024-4_19es_ES
dc.identifier.isbn18650929es_ES
dc.identifier.other10.1007/978-3-319-48024-4_19es_ES
dc.identifier.urihttp://dspace.utpl.edu.ec/handle/123456789/18704-
dc.description.abstractContext analysis in intelligent environments allows making the services and information available to support the activities of individuals ubiquitously. Under this premise we define smart cities, which are intelligent large-scale environments, with large amounts of data that are used to improve the quality of life for its citizens. The smart cities support activities to improve traffic, health, government, sociability, among others. This proposal seeks to create a middleware for Smart Cities from the vision of intelligent environments modeled as intelligent agents that can be adapted to the existing dynamism in a city, using emerging ontologies that not only adapt to the context of the moment and in real time, but respond unforeseen situations (emerging). Similarly, the middleware should allow scalability of the environment, to maintain the performance both in small big towns. © Springer International Publishing AG 2016.es_ES
dc.languageIngléses_ES
dc.subjectContext awarenesses_ES
dc.subjectMultiagent systemses_ES
dc.subjectOntological emergencyes_ES
dc.subjectSmart cityes_ES
dc.titleMiSCi: Autonomic reflective middleware for smart citieses_ES
dc.typeArticlees_ES
dc.publisherCommunications in Computer and Information Sciencees_ES
Appears in Collections:Artículos de revistas Científicas

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