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

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.

MuLViS: Multi-Level Encryption Based Security System for Surveillance Videos

“…This research work also demonstrated that ontology-based methods provide better solutions for the heterogeneity problem and that high-security and privacy can be ensured within smart homes. In [53], researchers developed a context platform, Kali-Smart, by incorporating an ontology to collect contextual information from sensors for adapting system behavior and semantic event detection and to provide services to clients in a ubiquitous environment. Recently in [42], a knowledge-based modeling of a UAV recorded video scenario was introduced.…”

C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things

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