Inside Case-Based Reasoning
Explanation-Driven Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Similarity Measures for Object-Oriented Case Representations
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
CBROnto: A Task/Method Ontology for CBR
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Building CBR systems with jcolibri
Science of Computer Programming
Automated case creation and management for diagnostic CBR systems
Applied Intelligence
Weighted ontology-based search exploiting semantic similarity
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
PRIMES: an ontology-based web service for software risk management
International Journal of Business Information Systems
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This paper presents our knowledge-intensive Case-Based Reasoning platform for diagnosis, COBRA. We work currently on the diagnosis of safety barrier failures at industrial sites. COBRA allows to author and reuse past experiences in order to diagnose new failure situations. It integrates domain knowledge along with cases in an ontological structure, which enhances its semantic reasoning capacities. We aim to make this platform as generic as possible so that it accepts different domains of application. Thus, the case structure (attributes) is defined dynamically by users at run time, which leads to a heterogeneous case base. In this paper, we present the platform architecture, the knowledge models, and the problems encountered when working with a heterogeneous case base.