TY - GEN
T1 - Towards a platform for urban data management, integration and processing
AU - Badidi, Elarbi
AU - Maheswaran, Muthucumaru
N1 - Publisher Copyright:
Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
PY - 2018
Y1 - 2018
N2 - Smart city infrastructure includes deployment of a variety of sensors and provision of open data platforms and applications that can help improve the quality of life of the citizens. The large volumes of data generated by sensors and various Internet of Things (IoT) devices need to be harnessed to help smart city applications make informed decisions on the fly. Also, efficient management of smart city components relies on the ability to federate their data, locally process urban data streams, and utilize big data analytics to harness their governance. Data interoperability and integration is one of the most challenging problems facing smart cities today. Successful data integration is one of the keys to improved services and governance. This paper describes the architectural design of a framework that aims to deal with the integration of data across the various systems of the city, urban data analytics, and creation of value-added services. The framework relies on recent technologies for data processing including IoT, edge computing, cloud computing, data analytics, and semantic integration.
AB - Smart city infrastructure includes deployment of a variety of sensors and provision of open data platforms and applications that can help improve the quality of life of the citizens. The large volumes of data generated by sensors and various Internet of Things (IoT) devices need to be harnessed to help smart city applications make informed decisions on the fly. Also, efficient management of smart city components relies on the ability to federate their data, locally process urban data streams, and utilize big data analytics to harness their governance. Data interoperability and integration is one of the most challenging problems facing smart cities today. Successful data integration is one of the keys to improved services and governance. This paper describes the architectural design of a framework that aims to deal with the integration of data across the various systems of the city, urban data analytics, and creation of value-added services. The framework relies on recent technologies for data processing including IoT, edge computing, cloud computing, data analytics, and semantic integration.
KW - Edge Computing
KW - Iot
KW - Semantic Interoperability
KW - Smart City
KW - Urban Data Analytics
KW - Urban Data Streams
UR - http://www.scopus.com/inward/record.url?scp=85051944792&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051944792&partnerID=8YFLogxK
U2 - 10.5220/0006789602990306
DO - 10.5220/0006789602990306
M3 - Conference contribution
AN - SCOPUS:85051944792
T3 - IoTBDS 2018 - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security
SP - 299
EP - 306
BT - IoTBDS 2018 - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security
A2 - Munoz, Victor Mendez
A2 - Wills, Gary
A2 - Walters, Robert
A2 - Firouzi, Farshad
A2 - Chang, Victor
PB - SciTePress
T2 - 3rd International Conference on Internet of Things, Big Data and Security, IoTBDS 2018
Y2 - 19 March 2018 through 21 March 2018
ER -