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Future Internet 2016, 8(4), 48; doi:10.3390/fi8040048

Autonomic Semantic-Based Context-Aware Platform for Mobile Applications in Pervasive Environments

1
LRSD Lab, Computer Science Department, University of SETIF-1, Sétif 19000, Algeria
2
LUIPPA, University of PAU, Anglet, 64000, France
*
Author to whom correspondence should be addressed.
Academic Editors: Genoveffa Tortora and Giuliana Vitiello
Received: 19 June 2016 / Revised: 13 September 2016 / Accepted: 20 September 2016 / Published: 29 September 2016
(This article belongs to the Special Issue Future Mobile Computing)

Abstract

Currently, the field of smart-* (home, city, health, tourism, etc.) is naturally heterogeneous and multimedia oriented. In such a domain, there is an increasing usage of heterogeneous mobile devices, as well as captors transmitting data (IoT). They are highly connected and can be used for many different services, such as to monitor, to analyze and to display information to users. In this context, data management and adaptation in real time are becoming a challenging task. More precisely, at one time, it is necessary to handle in a dynamic, intelligent and transparent framework various data provided by multiple devices with several modalities. This paper presents a Kali-Smart platform, which is an autonomic semantic-based context-aware platform. It is based on semantic web technologies and a middleware providing autonomy and reasoning facilities. Moreover, Kali-Smart is generic and, as a consequence, offers to users a flexible infrastructure where they can easily control various interaction modalities of their own situations. An experimental study has been made to evaluate the performance and feasibility of the proposed platform. View Full-Text
Keywords: context-aware; adaptation; ontology; constraint; semantic; autonomic reconfiguration context-aware; adaptation; ontology; constraint; semantic; autonomic reconfiguration
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Alti, A.; Lakehal, A.; Laborie, S.; Roose, P. Autonomic Semantic-Based Context-Aware Platform for Mobile Applications in Pervasive Environments. Future Internet 2016, 8, 48.

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