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Conceptual modelling for configuration: A description logic-based approach

Published online by Cambridge University Press:  01 September 1998

DEBORAH L. McGUINNESS  and
JON R. WRIGHT
DEBORAH L. McGUINNESS
Affiliation:
AT&T Labs–Research, A215, 180 Park Avenue, Florham Park, NJ 07932, U.S.A. Current address: Computer Science Department, Gates Building 2A, Stanford University, Stanford, CA 94305. E-mail: dlm@ksl.stanford.edu
JON R. WRIGHT
Affiliation:
AT&T Labs–Research, A215, 180 Park Avenue, Florham Park, NJ 07932, U.S.A.
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Abstract

Representing objects and their interactions can be quite challenging when an application requires many complicated, interconnected objects that are restricted in how they can be instantiated. In this paper, we present our approach to conceptual modelling. We have used this approach with success in a number of applications, the largest of which is the PROSE family of configurators. PROSE was first deployed in 1990 and has been used to configure over 4 billion dollars worth of AT&T and Lucent telecommunications equipment. We will discuss our approach to conceptual modelling, which is based on knowledge representation, show how it meets our representation and reasoning needs, and then discuss the relative merits of the approach.2

Keywords

Conceptual ModellingConfigurationKnowledge RepresentationDescription Logics
Type
ARTICLES
Information
AI EDAM , Volume 12 , Issue 4 , September 1998 , pp. 333 - 344
Copyright
© 1998 Cambridge University Press

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