DocumentCode :
630373
Title :
Reaping Context-Aware Services from Living Data
Author :
Jeongkyu Park ; Keung Hae Lee
Author_Institution :
R&D Center, LIG Syst., Yongin, South Korea
fYear :
2013
fDate :
24-26 June 2013
Firstpage :
1
Lastpage :
3
Abstract :
With the number of applications multiplying, it is often felt challenging to embrace the right service. Context-aware computing can mitigate this problem by shifting the burden of decision from the user to the computing system. This new technology is expected to bring us a new life style, which is automated and more convenient. Despite much progress made in this area, context-aware services are still handful. This paper discusses a method for creating useful context-aware services based on the user´s daily living data. A model of creating personalized context-aware services is discussed. We argue that our method can discover useful context-aware services.
Keywords :
causality; ubiquitous computing; computing system; context-aware computing; context-aware service reaping; personalized context-aware services; user daily living data; Computational modeling; Computer architecture; Context modeling; Context-aware services; Data mining; Smart homes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
Type :
conf
DOI :
10.1109/ICISA.2013.6579322
Filename :
6579322
Link To Document :
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