Harding W T, Redmond R T, Corley M C
College of Business Administration, Texas A & M University-Corpus Christi 78412.
Comput Nurs. 1993 Nov-Dec;11(6):277-81.
A major bottleneck in the construction of expert systems has traditionally been the solicitation and formalization of expertise from the "human expert." As a means of reducing this bottleneck, the authors propose the use of "text" as a source of knowledge. Acquisition of knowledge from text has not been successful thus far, primarily because most text is not presented in a format (rules, frames, or logic) that can be directly used to load a knowledge base. The authors propose techniques to overcome these inherent problems. This article introduces a model for building an expert system that relies on "text" as the source of knowledge. The model is introduced via a case study involving the building of a nurse expert system designed to replicate the medical diagnostic activities of professional nurses.
传统上，专家系统构建中的一个主要瓶颈一直是从“人类专家”那里获取专业知识并将其形式化。作为减少这一瓶颈的一种方法，作者们提议将“文本”用作知识来源。到目前为止，从文本中获取知识尚未成功，主要是因为大多数文本并非以可直接用于加载知识库的格式（规则、框架或逻辑）呈现。作者们提出了克服这些固有问题的技术。本文介绍了一种构建依赖“文本”作为知识来源的专家系统的模型。该模型通过一个案例研究来介绍，该案例研究涉及构建一个旨在复制专业护士医疗诊断活动的护士专家系统。
