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Ontology and Rules-Based Model to Reason on Useful Contextual Information for Providing Appropriate Services in U-Healthcare Systems

机译:基于本体和基于规则的模型,基于有用的上下文信息推理,以在U-Healthcare系统中提供适当的服务

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In our days, the development of computing technologies has facilitated the daily life since the environment is improved by its different applications. Pervasive computing is one of the most efficient computing areas which offer several smart systems aiming to provide various significant services in our life. Context awareness, in general and context-aware adaptation in particular, is a central aspect of pervasive computing systems, characterizing their ability to adapt and perform tasks based on context. In this paper, we describe our proposal ontology and rules-based model for representing and reasoning on useful contextual information. This model permits to provide appropriate services in ubiquitous healthcare systems which are one of the main application areas for pervasive computing that allow monitoring the health and wellbeing of patients anytime and anywhere.
机译:当今时代,由于各种应用程序可以改善环境,因此计算机技术的发展促进了人们的日常生活。普适计算是最高效的计算领域之一,它提供了一些旨在为我们的生活提供各种重要服务的智能系统。总体而言,上下文意识,尤其是上下文感知适应,是普及计算系统的核心方面,它表征了它们根据上下文适应和执行任务的能力。在本文中,我们描述了提案本体和基于规则的模型,用于表示和推理有用的上下文信息。该模型允许在无处不在的医疗系统中提供适当的服务,而无处不在的医疗系统是普及计算的主要应用领域之一,可以随时随地监视患者的健康状况。

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