RAP——一个基本的上下文感知模型

I. Salomie, T. Cioara, I. Anghel, M. Dînsoreanu
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引用次数: 22

摘要

本文讨论了上下文敏感系统领域的两个基本研究问题:开发可用于以计算机可解释的方式表示通用上下文的通用上下文模型和上下文模型管理。上下文模型使用由上下文资源、参与者和策略组成的三重集来表示。通过使用特定于上下文的元素填充集合,将模型映射到真实的上下文。上下文感知系统必须适应的上下文情况由特定的上下文模型实例表示。为了简化上下文推理和适应过程,定义了一个核心本体来表示上下文模型概念之间的关系。核心本体通过领域特定概念作为本体子树进行扩展。针对上下文模型管理问题,提出了一种基于BDI代理的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RAP - a basic context awareness model
This paper addresses two fundamental research problems in the domain of context sensitive systems: the development of a generic context model that can be used to represent general purpose contexts in a computer interpretable way and the context model management. The context model is represented using a triple set consisting of context resources, actors and policies. The model is mapped onto real contexts by populating the sets with context specific elements. A context situation to which a context aware system must adapt is represented by a specific context model instance. To ease the context reasoning and adaptation processes, a core ontology is defined to represent the relationships between the context model concepts. The core ontology is extended with domain specific concepts as ontology sub-trees. For the context model management problem we propose an agent based solution using BDI agents.
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