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

Adel Alti, Abderrahim Lakehal, Sébastien Laborie and Philippe Roose
Additional contact information
Adel Alti: LRSD Lab, Computer Science Department, University of SETIF-1, Sétif 19000, Algeria
Abderrahim Lakehal: LRSD Lab, Computer Science Department, University of SETIF-1, Sétif 19000, Algeria
Sébastien Laborie: LUIPPA, University of PAU, Anglet, 64000, France
Philippe Roose: LUIPPA, University of PAU, Anglet, 64000, France

Future Internet, 2016, vol. 8, issue 4, 1-26

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.

Keywords: context-aware; adaptation; ontology; constraint; semantic; autonomic reconfiguration (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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