在知识工程过程中使用专业知识本体

C. Reynaud, Françoise Tort
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引用次数: 1

摘要

我们描述了一种方法,由一个叫做ASTREE的工具支持,它被设计成在骨架模型不能被重用的情况下自动构建一个问题解决行为的模型。在ASTREE中,这种构造是能够实现用户指定任务的方法的标识。识别过程基于要实现的任务中指定的元素与表达领域知识概念化的专业知识本体中的元素的匹配。我们认为,定义良好的专业知识本体为创建解决问题的行为模型提供了强有力的约束。本文重点介绍ASTREE在识别过程中使用的主要技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of expertise ontologies in the knowledge engineering process
We describe an approach, supported by a tool called ASTREE, designed to automate the construction of a model of problem solving behaviour in cases where skeletal models cannot be reused. In ASTREE, such a construction is an identification of methods capable of achieving user specified tasks. The identification process is based on matching elements specified in the task to be achieved and elements in the expertise ontology that expresses conceptualizations of domain knowledge. We argue that a well defined expertise ontology provides strong constraints for the creation of a model of problem solving behaviour. The article focuses on the main techniques that ASTREE uses in the identification process.
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