A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports

Kerstin Bach, Klaus-Dieter Althoff, Régis Newo, Armin Stahl

In: Ashwin Ram , Nirmalie Wiratunga (Hrsg.). Case-Based Reasoning Research and Development Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2011) September 12-15 London United Kingdom Seiten 363-377 Lecture Notes in Computer Science (LNCS) 6880 ISBN 978-3-642-23290-9 Springer Verlag Berlin Heidelberg 9/2011.


This paper presents a case-based reasoning system that has been applied in a machine diagnosis customer support scenario. Complex machine problems are solved by sharing machine engineers’ experiences among technicians. Within our approach we made use of existing service reports, extracted machine diagnosis information and created a case base out it that provides solutions faster and more efficient than the traditional approach. The problem solving knowledge base is a data set that has been collected over about five years for quality assurance purposes and we explain how existing data can be used to build a case-based reasoning system by creating a vocabulary, developing similarity measures and populating cases using information extraction techniques.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence