一种管理复杂专业知识的表示方案

Chandra S. Amaravadi
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引用次数: 1

摘要

介绍了一种称为CKR-1的表示方案来处理表示复杂知识的挑战。复杂知识被定义为关于复杂对象、事件、情况或过程的深度知识。复杂知识的性质是从保险行业抽取的专业知识样本中识别出来的。这些例子突出了该方案的有效性以及它的局限性。CKR-1是一种语义网络,支持简单和抽象的概念、事件、活动和情景。它还支持多种类型的关系,包括业务、逻辑、因果、过程等。它的表达能力来源于支持抽象、阐述、断言和可选观点的能力。可用性测试随机选择50个知识项目,从保险专业人员的书。该方案很好地处理了其中的39个问题。尽管如此,该方案受到一些固有困难的限制,这些困难来自于表达涉及其他几个模糊定义的抽象概念的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Representation Scheme for Managing Complex Professional Knowledge
A representation scheme called CKR-1 is introduced to deal with the challenges of representing complex knowledge.  Complex knowledge is defined as deep knowledge concerning a complex object, event, situation or process.  The nature of complex knowledge is identified from samples of professional knowledge drawn from the insurance industry.  These examples highlight efficacy of the scheme as well as its limitations.  CKR-1 is a type of semantic network that supports simple and abstract concepts, events, activities and situations.  It also supports several types of relationships including business, logical, causal, process etc.  It derives its expressivity from ability to support abstractions, elaborations, assertions and alternative points of view.  Usability was tested with a randomized selection of fifty knowledge items from a book for insurance professionals.  The scheme handled 39 of these well.  Despite this, the scheme suffers from limitations stemming from the inherent difficulty in expressing concepts involving several other vaguely defined abstract concepts.
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