Abdullah et al. (2004) Modelling Knowledge Based Systems Using the eXecutable Modelling Framework (XMF)

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Modelling Knowledge Based Systems Using the eXecutable Modelling Framework (XMF)

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CONTRIBUTORS:

	Author:	Abdullah, Mohd Syazwan (University of York)
	Author:	Evans, Andy
	Author:	Benest, Ian
	Author:	Paige, Richard
	Author:	Kimble, Chris (University of York)

PROCEEDINGS TITLE:

Proceedings of the IEEE Conference on Cybernetics and Intelligent Systems (CIS), Singapore, December 1-3, 2004. ISBN 0780386442,

YEAR:

2004

PUB TYPE:

Conference Paper in Proceedings

PAGES:

1054 - 1059

SUBJECT(S):

Knowledge modelling, knowledge-base system, XMF Profile

DISCIPLINE:

Computer Science

HTTP:

http://www.cs.york.ac.uk/mis/docs/CIS04.pdf

LANGUAGE:

English

PUB ID:

103-413-363 (Last edited on 2005/03/08 04:51:07 US/Mountain)

SPONSOR(S):

ABSTRACT:
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.

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