Saquicela Galarza, Víctor HugoVilches Blázquez, Luis ManuelTello Guerrero, Marco Andres2018-10-182018-10-182018978-1-5386-2714-30000-0000http://dspace.ucuenca.edu.ec/handle/123456789/31414https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047817601&origin=inwardCurrently, 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.Currently, 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.es-ESFederated QueriesGeordfizationGeosparqlChallenges and trends about smart big geospatial data: a position paper<resourceType xmlns="http://datacite.org/schema/kernel-4" resourceTypeGeneral="Other">ARTÍCULO DE CONFERENCIA</resourceType><alternateIdentifier xmlns="http://datacite.org/schema/kernel-4" alternateIdentifierType="doi">10.1109/BigData.2017.8258335</alternateIdentifier>