Stein A, Musen M A, Shahar Y
Section on Medical Informatics, Stanford University School of Medicine, CA 94305-5479, USA.
Proc AMIA Annu Fall Symp. 1996:204-8.
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.
时间抽象是检测数据随时间变化的相关模式的任务。基于知识的时间抽象方法利用有关临床领域的背景、外部事件和参数的知识，从带时间戳的原始临床数据中创建有意义的基于区间的抽象。在本文中，我们描述了特定领域时间抽象知识的获取与维护。使用PROTEGE-II框架，我们设计了一种图形工具，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，并将知识转换为适合由适当的问题解决方法使用的格式。在初步测试中，该工具在我们快速获取时间知识并利用该知识进行自动时间推理的能力方面有显著提升。
