THE KEEP MODEL, A KNOWLEDGE ENGINEERING PROCESS MODEL

被引:0
|
作者
NEUBERT, S
STUDER, R
机构
来源
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 1992年 / 599卷
关键词
KEEP MODEL; CONCEPTUAL MODEL; KNOWLEDGE ACQUISITION; KNOWLEDGE ELICITATION; KNOWLEDGE COLLECTION; KNOWLEDGE INTERPRETATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The idea of building a specification in the first phase of modeling a system, a principle known from Software Engineering, has been transferred to the area of knowledge engineering. In the context of the so-called model-based knowledge engineering, KADS is a very popular methodology ([BWS87], [WSB91], [WSG89], [HKL89], [KLV89]). However, KADS only provides some basic principles but no complete method how the knowledge engineer should perform his tasks. Therefore, the knowledge engineering process model - the so-called KEEP model - was developed as a guideline for the process of model-based knowledge engineering in the sense of KADS. The KEEP model resulted from some experience in using the KADS methodology and an assessment of the life-cycle model of Hickman et. al. [HKL89]. The KEEP model is described at different layers of abstraction with the help of a dataflow diagram to give a detailed and structured description of the knowledge engineer's tasks and its results. Furthermore, the KEEP model includes a specification of the control flow for determining the order in which the different activities have to be carried out.
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页码:230 / 249
页数:20
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