Using Description Logics for Designing the Case Base in a Hybrid Approach for Diagnosis Integrating Model and Case-Based Reasoning

In this paper we propose an approach of how to use description logics for modeling the case base for case-based reasoning. We illustrate our approach by applying it to hybrid diagnosis. Integrating model-based and case-based reasoning for diagnostic problem solving we contribute to the domain of real time diagnosis. We describe the architecture of this approach, and present some preliminary experimental results. The case-based reasoning component of the hybrid diagnosis system is enabled to exploit description logic inferences for classifying and querying the case base. As description logic interpreter we use the system CICLOP, whereas the diagnosis system is implemented in G2. The description logic system runs as a server application and can thus be queried by the diagnosis system.