Controlled Language for Knowledge Representation
Controlled Language for Knowledge Representation
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知识表示的受控语言
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
S. Pulman
中科院分区：
文献类型：
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作者：
S. Pulman
目前的专家系统以几种不同的形式表示知识。在大多数情况下，存在一个对象或继承层次结构，表示有关应用程序领域中的对象、操作或事件的静态事实，以及它们之间的重要关系。其他类型的知识以规则的形式表现出来，通常是条件，说明如果遇到这样或那样的条件，应该采取什么行动，或者如果得到这样或那样的条件，可以得出什么结论。第三种类型的知识是明确的控制信息，要么以“冲突解决”策略的形式，说明如何决定几个选择中的哪一个，要么（越来越普遍）以统计驱动成分的形式，也根据先前的经验在几个相互竞争的假设中做出决定。下面我们将不讨论这类知识。
Current expert systems represent knowledge in several different forms. In most cases, there is an object or inheritance hierarchy representing static facts about the objects, actions, or events in the domain of application, and the important relationships between them. Other types of knowledge are represented in the form of rules, usually conditionals saying what action should be performed if such and such a condition is encountered, or what conclusion can be drawn if such and such other conditions obtain. A third type of knowledge is explicit control information, either in the form of a ‘conflict resolution’ strategy, saying how to decide which of several alternatives to pursue, or (increasingly common) in the form of a statistically driven component also deciding among several competing hypotheses on the basis of prior experience. We shall not be concerned with this type of knowledge in the following.