Context-Aware Computing: A Guide for the Pervasive Computing Community

G. K. Mostéfaoui, J. Pasquier-Rocha, P. Brézillon
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引用次数: 96

Abstract

There is a high interest on context-aware computing expressed by the pervasive computing community, which considers context as a key to design more adaptive applications. Due to this interest, a huge amount of contributions have been made in the field as we can notice from the increasing amount of publications on context and context-aware computing. However, the user interested in integrating context in its specific application will rapidly find himself in a jungle of various tools and techniques. This paper aims at structuring this information by providing a survey on the main context-aware categorization, acquisition and modeling techniques. "Main" refers to the most promising techniques in terms of their genericity in a way that they can be used in various application domains. This work tends to provide a guide for the pervasive computing community in order to select the best technique to use in a specific application or -more interesting- to justify the development of a new one.
上下文感知计算:普适计算社区指南
普适计算社区对上下文感知计算非常感兴趣,他们认为上下文是设计更具适应性的应用程序的关键。由于这种兴趣,我们可以从越来越多的关于上下文和上下文感知计算的出版物中注意到,该领域已经做出了大量的贡献。然而,对将上下文集成到其特定应用程序中感兴趣的用户将很快发现自己身处各种工具和技术的丛林之中。本文旨在通过概述主要的上下文感知分类、获取和建模技术来构建这些信息。“主要”指的是最有前途的技术,因为它们具有通用性,可以在各种应用程序领域中使用。这项工作旨在为普及计算社区提供指南,以便选择在特定应用程序中使用的最佳技术,或者(更有趣的是)证明开发新技术的合理性。
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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