DocumentCode :
3739893
Title :
A Unified Semantic Engine for Internet of Things and Smart Cities: From Sensor Data to End-Users Applications
Author :
Amelie Gyrard;Martin Serrano
Author_Institution :
Insight @ Nat. Univ. of Ireland, Galway, Ireland
fYear :
2015
Firstpage :
718
Lastpage :
725
Abstract :
Smart cities are becoming more and more popular. Currently, there is no unified and interoperable system which could be reused and redeployed in future smart cities. Having an interoperable: (1) system, (2) architecture, (3) workflow to process IoT data, (4) interoperable applications and services, and (5) secure access to data is becoming essential to reduce development cost in smart cities and ensure interoperability among vertical IoT applications (i.e., domain-specific). Firstly, we survey existing work integrating semantic web technologies to Internet of Things, also called ´Semantic Web of Things´ and applying it to smart cities. Secondly, we share in this paper, our vision of Semantic Web of Things applied to smart cities and highlight main research challenges. Finally, the main contribution of this work is the semantic engine applied to IoT and smart cities. Moreover, the proposed semantic engine is applied to three use cases: Machine-to-Machine Measurement (M3) framework, FIESTA-IOT EU project and VITAL EU project.
Keywords :
"Semantic Web","Cognition","Smart cities","Internet of things","Semantics","Cities and towns","Interoperability"
Publisher :
ieee
Conference_Titel :
Data Science and Data Intensive Systems (DSDIS), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/DSDIS.2015.59
Filename :
7396579
Link To Document :
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