Modelling knowledge based systems using the eXecutable Modelling Framework (XMF)

被引：0
|
作者：
Abdullah, MS [1 ]
Evans, A [1 ]
Benest, I [1 ]
Paige, R [1 ]
Kimble, C [1 ]
机构：
[1] Univ York, Dept Comp Sci, York YO10 5DD, N Yorkshire, England
来源：
2004 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2004年
关键词：
knowledge-based system; XMF profile; knowledge; modelling; executable models;
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：
There is no standardised approach to modelling knowledge-based systems; where modelling is adopted, the techniques used are those from the software engineering domain. These tend to be used in an ad hoc way and are highly dependent on the experience of the knowledge engineers. This paper presents the adoption of a profile mechanism for the design of knowledge-based systems. The profile is created using the meta-model extension approach of UML and is based on XMF (eXecutable Meta-modelling Framework). XMF is an extension to the existing standards for meta-models: MOF, OCL and QVT. XMF offers an alternative approach in profile design which allows modification or the addition of new modelling constructs that are easily integrated with the core meta-model of UML.
引用
收藏
页码：1055 / 1060
页数：6
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