Context data-driven approach for ubiquitous computing applications

Yazid Benazzouz, P. Beaune, F. Ramparany, Laure Chotard
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引用次数: 3

Abstract

Context data-driven approach refers to the process of collecting and storing context data from a wide range of context sources as sensors and web services. This approach differs from existing context-aware applications, where context models and applications are closely related and ignore how the context is derived from sources and interpreted. In this paper, we propose a context data model based on semantic web technologies for ubiquitous computing applications. This model facilitates the specification of context data to be easy interpreted by applications and services. In addition, this model is supported by existing communications protocols. Therefore, our context data model is applied to promote mining of context data towards service adaptation in ubiquitous computing systems.
泛在计算应用的上下文数据驱动方法
上下文数据驱动方法是指从广泛的上下文源(如传感器和web服务)收集和存储上下文数据的过程。这种方法不同于现有的上下文感知应用程序,在现有的上下文感知应用程序中,上下文模型和应用程序是密切相关的,并且忽略了如何从源中派生和解释上下文。本文提出了一种基于语义web技术的上下文数据模型,用于泛在计算应用。该模型简化了上下文数据的规范,使应用程序和服务能够轻松地解释上下文数据。此外,该模型得到了现有通信协议的支持。因此,我们的上下文数据模型被用于促进上下文数据的挖掘,以适应泛在计算系统中的服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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