Application of connectivity information for context interpretation and derivation

Jun-Zhao Sun, J. Sauvola, J. Riekki
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引用次数: 11

Abstract

Ubiquitous computing is the emerging new computing paradigm, of which context awareness is a key feature. In this paradigm connectivity is more than transport resource, but an important context source that can be utilized in many ways. This paper studies connectivity from the viewpoint of context awareness. Architecture for connectivity context management is proposed. Raw connectivity context including device, network, and end-end context is thoroughly defined. Methods for the derivation of high-level connectivity context are presented. The derivation is through the intelligent interpretation of raw connectivity context with the combination of other contextual information, in which knowledge-based rules are adopted. Connectivity context can also be used in the generation of other context information, in which connectivity context is employed in forms of one input factor. This paper studies three typical cases of connectivity based context derivation: location, application, and user related context.
连接信息在上下文解释和推导中的应用
泛在计算是一种新兴的计算范式,其关键特征是上下文感知。在这个范例中,连接性不仅仅是传输资源,而是一个重要的上下文源,可以以多种方式加以利用。本文从语境感知的角度对连通性进行了研究。提出了连接上下文管理的体系结构。包括设备、网络和端-端上下文在内的原始连接上下文被彻底定义。给出了高级连接性上下文的派生方法。该派生是通过结合其他上下文信息对原始连接上下文进行智能解释,其中采用基于知识的规则。连接性上下文还可以用于生成其他上下文信息,其中连接性上下文以一个输入因素的形式使用。本文研究了基于连接性的上下文派生的三个典型案例:位置上下文、应用上下文和用户相关上下文。
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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