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dc.contributor.authorCosta, Carlospor
dc.contributor.authorSantos, Maribel Yasminapor
dc.date.accessioned2016-08-05T08:42:57Z-
dc.date.issued2016-07-
dc.identifier.citationCosta, Carlos and Maribel Yasmina Santos, “BASIS: A Big Data Architecture for Smart Cities”, Proceedings of the 2016 SAI Computing Conference, IEEE Computer Society, ISBN 978-1-4673-8460-5, July 13-15, London, UK, 2016.por
dc.identifier.isbn978-1-4673-8460-5-
dc.identifier.urihttps://hdl.handle.net/1822/42354-
dc.description.abstractNowadays, cities are the common choice for living, representing a complex system where governments need to perform adequately, despite current restrictions, in order to satisfy the needs of the citizens and overcome economic, social and environmental sustainability challenges. The Smart City term emerges to conceptualize the need to understand citizens, namely their services demand and their relevance in a participatory government. Smart Cities are known for their human dynamics, which makes recurrent use of permanently connected devices, frequently known as Internet of Things (IoT). Consequently, since these new cities generate a vast volume of data with significant variety and velocity, they have the potential to be one of the richest and challenging systems to generate Big Data and to benefit from its adequate storage, processing, analysis and public availability. This paper presents a Big Data architecture for Smart Cities, entitled BASIS, whose specification pays particular attention to the creation of multiple abstraction layers, from the most conceptual to the most technological, fulfilling the lack of technological detail often observed in the literature. BASIS also pays particular attention to the public availability of data. Tested in a demonstration case, the obtained results reveal adequate capability to store, process, analyse and make available Big Data in the context of Smart Cities.por
dc.description.sponsorshipThis work has been supported by COMPETE: POCI-01-0145-FEDER- 007043 and FCT – Fundação para a Ciência e Tecnologia, within the Project Scope: UID/CEC/00319/2013 and funded by the SusCity project, MITP- TB/CS/0026/2013.por
dc.language.isoengpor
dc.publisherIEEEpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147280/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5665-PICT/137220/PTpor
dc.rightsrestrictedAccesspor
dc.subjectBig Datapor
dc.subjectSmart Citiespor
dc.subjectBig Data Architecturepor
dc.subjectBig Data Analyticspor
dc.titleBASIS: A big data architecture for smart citiespor
dc.typeconferencePaperpor
dc.peerreviewedyespor
sdum.publicationstatusinfo:eu-repo/semantics/publishedVersionpor
oaire.citationStartPage1247por
oaire.citationEndPage1256por
oaire.citationConferencePlaceLondon, UKpor
oaire.citationTitleProceedings of the 2016 SAI Computing Conferencepor
dc.identifier.doi10.1109/SAI.2016.7556139por
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.wosScience & Technologypor
sdum.conferencePublicationProceedings of the 2016 SAI Computing Conferencepor
sdum.bookTitleProceedings of the 2016 SAI Computing Conference (SAI)por
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