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 multimedia information dissemination related to smart health services. Based on the users’ situation management ontology, a two-layered architecture was proposed. The first layer is used to achieve a quality diagnosis of urgent situations including a smart fog computing enhanced with semantic profile modeling that offers efficient situation management. The second layer allows a more in-depth situation analysis for patients and enhanced rich services using cloud computing that provides good scalability. The most innovative of this architecture is the potential benefits from the semantic representation to conduct emergency situation knowledge reasoning and ultimately realize early service selection and adaptation process. The experimental results show a decreased time response and an enhanced accuracy of the proposed approach.
Highlights
In the ubiquitous computing environment, technologies have great potentials in making our daily life healthier, easier and more comfortable, and making environment more citizen-friendly
Our motivation is based on the fact that situation management strategies that are usually used to perform situation identification of a single user in a small smart environment are not applicable to a large number of heterogeneous specific profiles
As the situation identification depends on the highly dynamic users’ profiles, according to different contexts, we proposed a two-level management situation architecture to reduce as much as possible the response time of urgent situations
Summary
In the ubiquitous computing environment, technologies have great potentials in making our daily life healthier, easier and more comfortable, and making environment more citizen-friendly. Smart connected objects are deployed in smart-homes and healthy environments for real-time context data acquisition, which may be used for accurate decision and innovative services. They provide a complete environment automation system but may lead to a negative impact on interactive applications in the growth of smart objects. We need to rethink about efficient context data management for accurate and timely decision making and fast information dissemination strategies across distributed smart environments In this domain, building context-aware systems require using multiple heterogeneous specific patients’ profiles related to interactive devices, health due to its heterogeneous contexts such as context monitoring environment and its social activities. An efficient context-aware system is crucially needed come up with appropriate services for patients and select adaptations according to near real-time evolving situations
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