Publication:
Challenges and trends about smart big geospatial data: a position paper

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dc.contributor.authorSaquicela Galarza, Víctor Hugo
dc.contributor.authorVilches Blázquez, Luis Manuel
dc.contributor.authorTello Guerrero, Marco Andres
dc.date.accessioned2018-10-18T13:30:36Z
dc.date.available2018-10-18T13:30:36Z
dc.date.issued2018
dc.descriptionCurrently, we are witnessing an exponential growth in the amount of data being generated and captured at multiple locations. This trend will continue over the next years. Hence, we have envisioned a scenario in which many objects will be referencing to or generating location information. Thus, the need for appropriately managing geospatial data is evident. In this paper, we present our vision for an integral Geo Linked Data platform; pointing out the current limitations and challenges in the GeoRDFization, Storage, Query Federation, and Visualization of data with an inherent spatial context.
dc.description.abstractCurrently, we are witnessing an exponential growth in the amount of data being generated and captured at multiple locations. This trend will continue over the next years. Hence, we have envisioned a scenario in which many objects will be referencing to or generating location information. Thus, the need for appropriately managing geospatial data is evident. In this paper, we present our vision for an integral Geo Linked Data platform; pointing out the current limitations and challenges in the GeoRDFization, Storage, Query Federation, and Visualization of data with an inherent spatial context.
dc.description.cityBoston
dc.identifier.doi10.1109/BigData.2017.8258335
dc.identifier.isbn978-1-5386-2714-3
dc.identifier.issn0000-0000
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/31414
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047817601&origin=inward
dc.language.isoes_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.sourceBig Data
dc.subjectFederated Queries
dc.subjectGeordfization
dc.subjectGeosparql
dc.titleChallenges and trends about smart big geospatial data: a position paper
dc.title.alternative
dc.typeARTÍCULO DE CONFERENCIA
dc.ucuenca.afiliacionSaquicela, V., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
dc.ucuenca.afiliacionVilches, L., Pontificia Universidad Javeriana, Bogota, Colombia
dc.ucuenca.afiliacionTello, M., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
dc.ucuenca.areaconocimientofrascatiamplio5. CIENCIAS SOCIALES
dc.ucuenca.areaconocimientofrascatidetallado5.7.1 CIENCIAS DEL AMBIENTE (ASPECTOS SOCIALES)
dc.ucuenca.areaconocimientofrascatiespecifico5.7 GEOGRAFIA SOCIAL Y ECONOMICA
dc.ucuenca.areaconocimientounescoamplio05 - CIENCIAS FISICAS, CIENCIAS NATURALES, MATEMATICAS Y ESTADISTICAS
dc.ucuenca.areaconocimientounescodetallado0521 - CIENCIAS AMBIENTALES
dc.ucuenca.areaconocimientounescoespecifico052 - MEDIO AMBIENTE
dc.ucuenca.comiteorganizadorconferenciaIEEE Meetings, Conferences & Events (MCE).
dc.ucuenca.conferencia5th IEEE International Conference on Big Data. 2017
dc.ucuenca.embargoend2050-12-12
dc.ucuenca.embargointerno2050-12-12
dc.ucuenca.factorimpacto
dc.ucuenca.fechafinconferencia2017-12-14
dc.ucuenca.fechainicioconferencia2017-12-11
dc.ucuenca.idautor0103599577
dc.ucuenca.idautor0000-0001-5799-469x
dc.ucuenca.idautor0704166818
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.numerocitaciones0
dc.ucuenca.organizadorconferenciaIEEE Meetings, Conferences & Events (MCE).
dc.ucuenca.paisESTADOS UNIDOS
dc.ucuenca.urifuentehttps://ieeexplore.ieee.org/Xplore/home.jsp
dc.ucuenca.versionVersión publicada
dc.ucuenca.volumenvolumen 2018-January
dspace.entity.typePublication
relation.isAuthorOfPublication48f3b0ef-dc7f-4a21-9cca-597c4a692117
relation.isAuthorOfPublication.latestForDiscovery48f3b0ef-dc7f-4a21-9cca-597c4a692117

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