摘要
知识获取问题一直成为开发知识基系统如专家系统、自然语言理解系统的瓶颈问题。为了解决这一问题,计算机工作者研究并开发了基于机器学习技术的知识获取系统,但在这些知识获取系统中,如何保证所获取知识的正确性,如何维护所建造的知识库的一致性,一直成为这些知识获取系统能够获得实际应用的关键问题。本文提出了一种新颖的知识精化模型,旨在为解决上述问题提供一条切实可行的途径。
The problem of knowledge acquisition has been the bottleneck of building aknowledge-based system. In order to solve this problem, knowledge acquisition systemsbased on Machine learhing have been tuilt. Howeer, in those knowledge acquisitionsystems, there are still some important problems left. This paper proposes a new type ofknowledge improvement model, which is to provide a reliable method for the problems dis-cussed, above.
出处
《计算机工程与设计》
CSCD
北大核心
1990年第5期36-44,共9页
Computer Engineering and Design
