Key factors in knowledge acquisition

J. Fellers
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引用次数: 27

Abstract

In recent years there has been a tremendous increase in the development of Expert Systems (ESs) in organizations. This increased development is straining the already limited supply of qualified ES developers. These ES developers have come to be know as Knowledge Engineers (KEs), and their job as Knowledge Engineering. The process of Knowledge Engineering is divided into two tasks: Knowledge Acquisition (KA) and ES construction. KA has been defined as "The process of extracting, structuring, and organizing Knowledge from several sources, usually human experts, so it can be used in a program." (Waterman, 1986; p. 392) This process of KA has been identified as the "bottleneck" that currently constrains the development of ESs.This paper summarizes what is known about the KA process in an effort to identify what the key factors are that influence the success of the KA phase of the Knowledge Engineering process. Due to the similarities that exist between ESs and traditional systems development, the literature that pertains to traditional Information Requirements Determination and to Systems Analysts will be utilized to guide this exploration. Case study reports of actual ES development projects and the practitioner literature from this highly applied field will also be referenced. A model of the knowledge Engineering process has been developed and will be used to help determine and discuss the key factors that influence the KA process.Five key factors have been identified and will be discussed in detail. These factors are: the attributes of the participants in the ES development process; elicitation techniques utilized in the process; the development of external representations; representation selection problems; and the verification of the ES by the Domain Expert who participates in its continued development via the user-system interface. These factors are presented, key issues identified, and research questions suggested for each area.It is hoped that the analysis of the key factors in KA will lead to the identification of the skills and techniques necessary to successfully perform the KA process. Once these skills have been identified, training programs can be developed to help reduce the shortage of qualified KEs and, ultimately, facilitate the increased development of ESs in organizations.
知识获取的关键因素
近年来,组织中专家系统(ESs)的发展有了巨大的增长。这种增加的开发使本已有限的合格ES开发人员供应变得更加紧张。这些ES开发人员被称为知识工程师,他们的工作被称为知识工程。知识工程的过程分为两个任务:知识获取和系统构建。KA被定义为“从几个来源(通常是人类专家)提取、构造和组织知识的过程,以便它可以在程序中使用。”(沃特曼,1986;第392页)KA的这个过程被认为是目前制约ESs发展的“瓶颈”。本文总结了关于KA过程的已知内容,以确定影响知识工程过程KA阶段成功的关键因素。由于ESs和传统系统开发之间存在相似之处,因此将利用与传统信息需求确定和系统分析相关的文献来指导这一探索。实际的ES开发项目的案例研究报告和来自这个高度应用领域的从业者文献也将被参考。知识工程过程的模型已经开发出来,并将用于帮助确定和讨论影响KA过程的关键因素。已经确定了五个关键因素,并将详细讨论。这些因素是:ES开发过程中参与者的属性;过程中使用的启发技术;外部表征的发展;表征选择问题;领域专家通过用户系统界面参与ES的持续开发,对ES进行验证。提出了这些因素,确定了关键问题,并为每个领域提出了研究问题。希望对KA中关键因素的分析将导致确定成功执行KA过程所必需的技能和技术。一旦确定了这些技能,就可以制定培训计划,以帮助减少合格ke的短缺,并最终促进组织中ESs的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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