tailieunhanh - Smart fog computing for efficient situations management in smart health environments
This paper aims to provide a new generic user situation-aware profile ontology (GUSP-Onto) for a semantic description of heterogeneous users’ profiles with efficient patients’ situation management and health multimedia information dissemination related to smart health services. | Journal of ICT, 17, No. 4 (October) 2018, pp: 537–567 How to cite this article: Achouri, M., Alti, A., Derdour, M., Laborie, S., & Roose, P. (2018). Smart fog computing for efficient situations management for smart health environments. Journal of Information and Communication Technology, 17(4), 537-567. SMART FOG COMPUTING FOR EFFICIENT SITUATIONS MANAGEMENT IN SMART HEALTH ENVIRONMENTS 1 Mounir Achouri, 2Adel Alti, 1Makhlouf Derdour, 3Sébastien Laborie, 3 Philippe Roose 1 Department of Computer Science, University of Tebessa, Algeria 2 Department of Computer Science, University Ferhat Abbas Setif-1, Algeria 3 LUIPPA Laboratory, University of Pau and Pays of Adour , France ; ; . fr ; . ABSTRACT Ontologies are considered a backbone for supporting advanced situation management in various smart domains, particularly smart health. It plays a vital role in understanding user context in order to determine patients’ safety, situation identification accuracy, and provide personalized comfort. The smart health domain contains a huge number of different types of context profiles related to interactive devices, linked health objects, and smart-home. The key role of context profiles is to deduce urgent situations that are needed to run adaptation components on a specific smarthealth Fog. Existing platforms and middlewares lack support to efficiently analyze a large number of heterogeneous specific profiles and continuous context changing in near real time. In this paper, we focus on data and dissemination of information from services related to the field of e-health. This paper aims to provide a new generic user situation-aware profile ontology (GUSP-Onto) for a semantic description of heterogeneous users’ profiles with efficient patients’ situation management and health Received: 17 December 2017 Accepted: 13 August .
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