Abstract
A huge amount of rough data is available in companies on past maintenance activities as a result of the implementation of CMMS (Computerized Maintenance Management System). In that context, we focus on an experience feedback system dedicated to maintenance, allowing the capitalization of past interventions by means of a formal knowledge representation language, and the extraction from these interventions of new knowledge for future reuse.
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