Abstract
In the last years, the Smart City term has appeared in roadmaps and digital agendas for many public administrations in both regional and national contexts. Following this trend, many cities have made important efforts to deploy a network of sensors with the aim of gathering a huge amount of networking related data. Most of these cities are publishing their data through Open Data portals in order to facilitate access and re-use of these data by third parties. Unfortunately, just 5% of the gathered data are currently processed; therefore, the actual contributions extracted from the usage of these data are far from the potential benefits that they may offer. This work presents a first prototype based on the Geo-Temporal Dynamic Activity Flows concept that ease processing and consuming these data. These Dynamic Activity Flows are based on the usage of a resource commonly used to represent cities, their maps.
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Acknowledgment
Authors would like to thank (i) TIN2015-69957-R (MINECO/ERDF, EU) (ii) POCTEP 4IE (0045-4 IE-4-P) and (iii) Consejería de Economía e Infraestructuras/Junta de Extremadura - European Regional Development Fund (ERDF)- IB16055 project and GR15098 project for their support in the development of this work.
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Prieto, Á.E., Preciado, J.C., Conejero, J.M., Rubio-Largo, Á. (2018). Geo-Time Broker: A Web Agent of Dynamic Flows of Geo-Temporal Activity for Smart Cities. In: Pautasso, C., Sánchez-Figueroa, F., Systä, K., Murillo Rodríguez, J. (eds) Current Trends in Web Engineering. ICWE 2018. Lecture Notes in Computer Science(), vol 11153. Springer, Cham. https://doi.org/10.1007/978-3-030-03056-8_16
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DOI: https://doi.org/10.1007/978-3-030-03056-8_16
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