Challenges and trends about smart big geospatial data: A position paper

Victor Saquicela; Luis M. Vilches-Blazquez; Andres Tello

doi:10.1109/BigData.2017.8258335

Challenges and trends about smart big geospatial data: A position paper

Victor Saquicela, Luis M. Vilches-Blazquez, Andres Tello

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Resumen

© 2017 IEEE. 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.

Idioma original	Inglés estadounidense
Páginas	3471-3475
Número de páginas	3123
DOI	https://doi.org/10.1109/BigData.2017.8258335
Estado	Publicada - 12 ene. 2018
Publicado de forma externa	Sí
Evento	Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017 - Duración: 12 ene. 2018 → …

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Conferencia	Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
Período	12/01/18 → …

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author = "Victor Saquicela and Vilches-Blazquez, {Luis M.} and Andres Tello",

year = "2018",

month = jan,

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doi = "10.1109/BigData.2017.8258335",

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AB - © 2017 IEEE. 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.

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Challenges and trends about smart big geospatial data: A position paper

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