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Real-Time IoT Stream Processing and Large-scale Data Analytics for Smart City Applications

Descrizione del progetto


A reliable, smart and secure Internet of Things for Smart Cities

An increasing number of cities have started to introduce new ICT enabled services. However, the uptake of smart city applications is hindered by various issues, such as the difficulty of integrating heterogeneous data sources and the challenge of extracting up-to-date information in real-time from large-scale dynamic data. Today the challenges are often addressed by application specific solutions, resulting in silo architectures.Bridging technology and domain boundaries, requires a scalable, adaptive and robust framework that provides:
• Virtualisation hiding the heterogeneity of the numerous data and information sources
• Large-scale data analytics for resource efficient event detection in multiple data streams
• Semantic description frameworks and semantic analytics tools to provide machine-interpretable descriptions of data and knowledge
• Easy creation of real-time smart city applications by re-usable intelligent components
CityPulse will develop, build and test a framework for semantic discovery and processing of large-scale real-time IoT and relevant social data streams for reliable knowledge extraction in a real city environment.

Invito a presentare proposte

FP7-SMARTCITIES-2013
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Meccanismo di finanziamento

CP - Collaborative project (generic)

Coordinatore

UNIVERSITY OF SURREY
Contributo UE
€ 753 674,00
Indirizzo
Stag Hill
GU2 7XH Guildford
Regno Unito

Mostra sulla mappa

Regione
South East (England) Surrey, East and West Sussex West Surrey
Tipo di attività
Higher or Secondary Education Establishments
Contatto amministrativo
Maria Sega-Buhalis (Ms.)
Collegamenti
Costo totale
Nessun dato

Partecipanti (9)