A Lesson for Software Engineering from Knowledge Engineering

Debenham, JK

A Lesson for Software Engineering from Knowledge Engineering

Debenham, JK

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Publisher:: Springer-Verlag Berlin Heidelberg
Publication Type:: Conference Proceeding
Citation:: Database and Expert Systems Applications. 14th International Conference, DEXA 2003 Proceedings, 2003, pp. 569 - 578
Issue Date:: 2003-01

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Field	Value	Language
dc.contributor.author	Debenham, JK	en_US
dc.contributor.editor	Marik, V	en_US
dc.contributor.editor	Retschitzegger, W	en_US
dc.contributor.editor	Stepankova, O	en_US
dc.date	2003-09-01	en_US
dc.date.issued	2003-01	en_US
dc.identifier.citation	Database and Expert Systems Applications. 14th International Conference, DEXA 2003 Proceedings, 2003, pp. 569 - 578	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1945
dc.description.abstract	Knowledge engineering has developed fine tools for maintaining the integrity of knowledge bases. These tools may be applied to the maintenance of conventional programs particularly those programs in which business rules are embedded. A unified model of knowledge represents business rules at a higher level of abstraction than the rule-based paradigm. Representation at this high level of abstraction enables any changes to business rules to be quantified and tracked through to the imperative programs that implement them. Further, methods may be applied to simplify the unified model so that the maintenance of the imperative implementation too is simplified.	en_US
dc.publisher	Springer-Verlag Berlin Heidelberg	en_US
dc.relation.ispartof	Database and Expert Systems Applications. 14th International Conference, DEXA 2003 Proceedings	en_US
dc.relation.ispartof	International Conference on Database and Expert Systems Applications	en_US
dc.relation.isbasedon	10.1007/978-3-540-45227-0_56	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A Lesson for Software Engineering from Knowledge Engineering	en_US
dc.type	Conference Proceeding
utslib.location	Germany	en_US
utslib.location.activity	Prague, Czech Republic	en_US
utslib.for	080105 Expert Systems	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
dc.location.activity	Prague, Czech Republic	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Germany	en_US
pubs.start-date	2003-09-01	en_US

Abstract:

Knowledge engineering has developed fine tools for maintaining the integrity of knowledge bases. These tools may be applied to the maintenance of conventional programs particularly those programs in which business rules are embedded. A unified model of knowledge represents business rules at a higher level of abstraction than the rule-based paradigm. Representation at this high level of abstraction enables any changes to business rules to be quantified and tracked through to the imperative programs that implement them. Further, methods may be applied to simplify the unified model so that the maintenance of the imperative implementation too is simplified.

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http://hdl.handle.net/10453/1945