用于诊断制造问题的任务感知信息访问

L. Birnbaum, W. Hopp, S. Iravani, K. Livingston, Biying Shou, T. Tirpak
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引用次数: 4

摘要

在主动和动态红外系统中使用任务上下文的丰富模型是有希望的第一步。Pinpoint允许用户浏览由领域专家构建的问题空间的决策树表示,同时动态输入特定于其问题的注释。然后,系统根据用户的注释和问题空间中的位置自动生成对信息存储库的查询,生成既关注任务又特定于问题的结果。用户和领域专家的初步反馈是积极的。
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Task aware information access for diagnosis of manufacturing problems
Pinpoint is a promising first step towards using a rich model of task context in proactive and dynamic IR systems. Pinpoint allows a user to navigate decision tree representations of problem spaces, built by domain experts, while dynamically entering annotations specific to their problem. The system then automatically generates queries to information repositories based on both the user's annotations and location in the problem space, producing results that are both task focused and problem specific. Initial feedback from users and domain experts has been positive.
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