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Towards a knowledge-level model of context and context use in diagnostic problems

机译:建立知识背景下的上下文和诊断问题中的上下文使用

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摘要

Diagnostic support systems that help solving problems in open and weak theory domains need to be context-sensitive in order to reveal flexible and efficient behaviour. This paper presents a task-oriented methodology for analysing and modeling contextual knowledge at the knowledge level. We present a context-sensitive diagnosis approach (ConSID) which clarifies the connection between content and process knowledge. The former embodies the domain model, while the latter embodies the task and method models. We present a prototypical system, ConSID-Creek, that applies the ConSID approach to the medical diagnostic domain. We illustrate how the system integrates case-based and explanation-based reasoning paradigms when realizing the abductive subtask of the overall diagnostic task.
机译:帮助揭示开放的理论领域和薄弱的理论领域中的问题的诊断支持系统需要对上下文敏感,以便揭示灵活高效的行为。本文提出了一种面向任务的方法,用于在知识级别分析和建模上下文知识。我们提出了一种上下文相关的诊断方法(ConSID),该方法阐明了内容与过程知识之间的联系。前者体现领域模型,而后者体现任务和方法模型。我们提出了一个原型系统ConSID-Creek,该系统将ConSID方法应用于医学诊断领域。我们说明了在实现整体诊断任务的归纳子任务时,系统如何集成基于案例和基于解释的推理范例。

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