Knowledge acquisition for temporal abstraction.
Knowledge acquisition for temporal abstraction.
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发表时间：
1996
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通讯作者：
A. Stein;M. Musen;Yuval Shahar
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作者：
A. Stein;M. Musen;Yuval Shahar
时态抽象是随着时间的推移检测数据中相关模式的任务。基于知识的时间抽象方法使用关于临床领域的上下文、外部事件和参数的知识来从原始时间戳临床数据创建有意义的基于间隔的抽象。在本文中，我们描述了特定领域的时间抽象知识的获取和维护。使用PROTEGE-II框架，我们设计了一个图形工具，用于直接从专家医生那里获取时间知识，以可共享的形式维护知识，并将知识转换为合适的格式，以供适当的问题解决方法使用。在最初的测试中，该工具在我们快速获取时间知识并使用这些知识进行自动时间推理的能力方面取得了显着的进步。
Temporal abstraction is the task of detecting relevant patterns in data over time. The knowledge-based temporal-abstraction method uses knowledge about a clinical domain's contexts, external events, and parameters to create meaningful interval-based abstractions from raw time-stamped clinical data. In this paper, we describe the acquisition and maintenance of domain-specific temporal-abstraction knowledge. Using the PROTEGE-II framework, we have designed a graphical tool for acquiring temporal knowledge directly from expert physicians, maintaining the knowledge in a sharable form, and converting the knowledge into a suitable format for use by an appropriate problem-solving method. In initial tests, the tool offered significant gains in our ability to rapidly acquire temporal knowledge and to use that knowledge to perform automated temporal reasoning.