Ciência Cidadã Baseada em Big Data Aplicada ao Planejamento Urbano
Resumo
Neste artigo são apresentados um modelo e uma arquitetura para construção e estruturação de ambientes que necessitam realizar, eficientemente, armazenamento, busca e análise de grandes volumes de dados. Para a implementação do modelo foi utilizado o projeto ParticipACT Brasil. Este projeto visa implantar na cidade de Florianópolis o processo de ciência cidadã para obter informações relevantes que auxiliem os gestores a resolverem problemas urbanos. Pode-se observar, então que a implementação do modelo facilitou a estruturação do ambiente, e ajudou na escolha de ferramentas especializadas na manipulação de big data.
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ParticipACT (2016a). Participact. http://participact.unibo.it/. Acessado: Abril.
ParticipACT (2016b). Participact brasil. http://labges.esag.udesc.br/participact/. Acessado: Abril.
Pentaho (2016). Pentaho data integration. http://www.pentaho.com/. Acessado: Março.
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Bicocchi, N., Cecaj, A., Fontana, D., Mamei, M., Sassi, A., and Zambonelli, F. (2013). Collective awareness for human-ict collaboration in smart cities. In Enabling Technologies: Infrastructure for Collaborative Enterprises, 2013 IEEE 22nd International Workshop on, pages 3–8. IEEE.
Cassandra (2016). Apache cassandra. http://www.planetcassandra.org/. Acessado: Março.
Cheng, B., Longo, S., Cirillo, F., Bauer, M., and Kovacs, E. (2015). Building a big data platform for smart cities: Experience and lessons from santander. In Big Data, 2015 IEEE International Congress on, pages 592–599. IEEE.
Conrad, C. C. and Hilchey, K. G. (2011). A review of citizen science and community-based environmental monitoring: issues and opportunities. Environmental monitoring and assessment, 176(1-4):273–291.
Deka, G. C. (2014). A survey of cloud database systems. IT Professional, (2):50–57.
Gomes, E., Dantas, M., Macedo, D. D. J., Rolt, C. D., Brocardo, M., and Foschini, L. (2016). Towards an infrastructure to support big data for a smart city project. In 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises. Artigo aceito pelo evento.
Inacio, E. C. and Dantas, M. A. (2014). A survey into performance and energy efficiency in hpc, cloud and big data environments. International Journal of Networking and Virtual Organisations, 14(4):299–318.
Jara, A. J., Genoud, D., and Bocchi, Y. (2014). Big data in smart cities: from poisson to human dynamics. In Advanced Information Networking and Applications Workshops, 2014 28th International Conference on, pages 785–790. IEEE.
Khan, Z. and Kiani, S. L. (2012). A cloud-based architecture for citizen services in smart cities. In Proceedings of the 2012 IEEE/ACM 5th International Conference on Utility and Cloud Computing, pages 315–320. IEEE Computer Society.
Kitchin, R. (2013). Big data and human geography opportunities, challenges and risks. Dialogues in human geography, 3(3):262–267.
Ma, S. and Liang, Z. (2015). Design and implementation of smart city big data processing platform based on distributed architecture. In Intelligent Systems and Knowledge Engineering, 2015 10th International Conference on, pages 428–433. IEEE.
Moreno-Cano, V., Terroso-Saenz, F., and Skarmeta-Gomez, A. F. (2015). Big data for iot services in smart cities. In Internet of Things, 2015 IEEE 2nd World Forum on, pages 418–423. IEEE.
ParticipACT (2016a). Participact. http://participact.unibo.it/. Acessado: Abril.
ParticipACT (2016b). Participact brasil. http://labges.esag.udesc.br/participact/. Acessado: Abril.
Pentaho (2016). Pentaho data integration. http://www.pentaho.com/. Acessado: Março.
R (2016). R project. https://www.r-project.org/. Acessado: Março.
Publicado
04/07/2016
Como Citar
GOMES, Eliza; DANTAS, M. A. R.; DE MACEDO, Douglas D. J.; DIAS, Júlio; DE ROLT, Carlos; BROCARDO, Marcelo; FOSCHINI, Luca.
Ciência Cidadã Baseada em Big Data Aplicada ao Planejamento Urbano. In: BRAZILIAN E-SCIENCE WORKSHOP (BRESCI), 10. , 2016, Porto Alegre.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 261-268.
ISSN 2763-8774.
DOI: https://doi.org/10.5753/bresci.2016.9976.
