Knowledge Engineering Requirements for Generic Diagnostic Systems

Andreas Mueller, Ingmar Hofmann, Heiner Oberkampf, Sonja Zillner

2012

Abstract

Diagnostics is the process of determining the nature of malfunctions or faults of systems in various domains. With regard to the complexity of systems and their composition of different subsystems or subcomponents, for which different diagnostic approaches are optimal, no means exist for seamless and agile cooperation and information exchange between currently isolated diagnostic approaches. However, we consider this essential for an integrated diagnostic mechanism covering complex systems in their entirety. Hence, in this paper, we show the basic requirements for a generic diagnostic knowledge representation language (DKRL) by investigating typical diagnostic examples from different domains, namely industry and medicine. DKRL is intended to facilitate the generic representation, handling, and interchange of diagnostic knowledge required for performing diagnostics without regard to specific diagnostic approaches.

Paper Citation

in Harvard Style

Mueller A., Hofmann I., Oberkampf H. and Zillner S. (2012). Knowledge Engineering Requirements for Generic Diagnostic Systems . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012) ISBN 978-989-8565-30-3, pages 184-189. DOI: 10.5220/0004124601840189

in Bibtex Style

@conference{keod12,
author={Andreas Mueller and Ingmar Hofmann and Heiner Oberkampf and Sonja Zillner},
title={Knowledge Engineering Requirements for Generic Diagnostic Systems},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)},
year={2012},
pages={184-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004124601840189},
isbn={978-989-8565-30-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)
TI - Knowledge Engineering Requirements for Generic Diagnostic Systems
SN - 978-989-8565-30-3
AU - Mueller A.
AU - Hofmann I.
AU - Oberkampf H.
AU - Zillner S.
PY - 2012
SP - 184
EP - 189
DO - 10.5220/0004124601840189