KiCM: A knowledge-intensive context model

Dennis M. Lupiana, F. Mtenzi
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Abstract

A context model plays a significant role in developing context-aware architectures and consequently on realizing context-awareness, which is important in today's dynamic computing environments. These architectures monitor and analyse their environments to enable context-aware applications to effortlessly and appropriately respond to users' computing needs. These applications make the use of computing devices intuitive and less intrusive. A context model is an abstract and simplified representation of the real world, where the users and their computing devices interact. It is through a context model that knowledge about the real world can be represented in and reasoned by a context-aware architecture. This paper presents a Knowledge-intensive Context Model (KiCM). KiCM improves the existing context models by including knowledge about more entities that are essential for describing an occurrence of users' real context such as a meeting.
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知识密集型上下文模型
上下文模型在开发上下文感知体系结构以及实现上下文感知方面发挥着重要作用,这在当今的动态计算环境中非常重要。这些体系结构监视和分析它们的环境,使上下文感知应用程序能够毫不费力地适当响应用户的计算需求。这些应用程序使计算设备的使用更直观,更少干扰。上下文模型是真实世界的抽象和简化表示,用户和他们的计算设备在其中交互。通过上下文模型,有关现实世界的知识可以用上下文感知架构来表示和推理。本文提出了一种知识密集型上下文模型(KiCM)。KiCM通过包含关于更多实体的知识来改进现有的上下文模型,这些实体对于描述用户的真实上下文(如会议)的发生是必不可少的。
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