Authors:
Andreas Mueller
;
Ingmar Hofmann
;
Heiner Oberkampf
and
Sonja Zillner
Affiliation:
Siemens AG, Germany
Keyword(s):
Diagnostic Knowledge, Knowledge Representation, Knowledge-based Diagnostics, Domain-specific Language, Requirements Analysis, Knowledge Engineering, Reasoning, Knowledge Interchange.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Domain Analysis and Modeling
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
MetaModeling
;
Models
;
Paradigm Trends
;
Software Engineering
;
Symbolic Systems
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.