Knowledge modelling using the UML profile

被引：0
|
作者：
Abdullah, Mohd Syazwan [1 ,2 ]
Paige, Richard [2 ]
Benest, Ian [2 ]
Kimble, Chris [2 ]
机构：
[1] Univ Utara Malaysia, Fac Informat Technol, Sintok 06010, Kedah, Malaysia
[2] Univ York, Dept Comp Sci, York YO10 5DD, N Yorkshire, England
来源：
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS | 2006年 / 204卷
关键词：
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：
This paper discusses platform independent conceptual modeling of a knowledge intensive application, focusing on the use of knowledge-based systems (KBS) in the context of model-driven engineering. An extension to the Unified Modeling Language (UML) for knowledge modeling is presented based on the profiling extension mechanism of UML. The UML profile discussed in this paper has been successfully captured in a Meta-Object-Facility (MOF) based UML tool - the eXecutable Modeling Framework (XMF). The example is that of modeling a knowledge-based system for the Ulcer Clinical Practical Guidelines (CPG) Recommendations. It demonstrates the use of the profile, with the prototype system implemented in the Java Expert System Shell (JESS).
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页码：70 / +
页数：3
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