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Knowledge Management for Context-Aware, Policy-Based Ubiquitous Computing Systems

机译:基于上下文的,基于策略的普适计算系统的知识管理

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Ubiquitous computing systems depend on a distributed intelligence that relates the context of the task being performed to the available system resources and services. Currently, this is hampered by the problems inherent in heterogeneous devices and technologies used to manage network resources and services, and the associated lack of a network language lingua franca that all systems can use and understand. This paper describes a new approach for representing, using and managing knowledge for ubiquitous computing systems, based on a novel combination of extracting knowledge from models and ontologies to form such a lingua franca. An extensible context model is used to select applicable policies to govern system behaviour; as context changes, policies change, which in turn causes system behaviour to change accordingly.
机译:无处不在的计算系统依赖于分布式智能,该智能将正在执行的任务的上下文与可用的系统资源和服务相关联。当前,这被用于管理网络资源和服务的异构设备和技术所固有的问题以及所有系统都无法使用和理解的缺乏网络语言通用语言的情况所困扰。本文基于从模型和本体中提取知识以形成这种通用语言的新颖组合,描述了一种用于表示,使用和管理普适计算系统知识的新方法。可扩展的上下文模型用于选择适用的策略来管理系统行为。随着上下文的变化,策略也会发生变化,进而导致系统行为发生相应的变化。

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