知识工程
计算机科学
知识管理
个人知识管理
领域知识
知识价值链
开放式知识库连接
知识整合
基于知识的系统
程序性知识
知识获取
知识抽取
软件部署
知识表示与推理
组织学习
知识体系
软件工程
人工智能
作者
Alun Preece,Alan Flett,Derek Sleeman,D. A. Curry,Nigel Meany,Phil Perry
出处
期刊:IEEE Intelligent Systems
[Institute of Electrical and Electronics Engineers]
日期:2001-01-01
卷期号:16 (1): 36-43
被引量:99
摘要
The authors believe that current knowledge management practice significantly under-utilizes knowledge engineering technology, despite recent efforts to promote its use. They focus on two knowledge engineering processes: using knowledge acquisition processes to capture structured knowledge systematically; and using knowledge representation technology to store the knowledge, preserving important relationships that are far richer than those possible in conventional databases. To demonstrate the usefulness of these processes, we present a case study in which the drilling optimization group of a large oil and gas service company uses knowledge engineering practices to support the three facets of the knowledge management task: knowledge capture; knowledge storage; and knowledge deployment.
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