Data Driven Concept Refinement to Support Avionics Maintenance

Abstract : Description Logic Ontologies are one of the most important knowledge representation formalisms nowadays which, broadly speaking, consist of classes of objects and their relations. Given a set of objects as samples and a class expression describing them, we present ongoing work that formalizes which properties of these objects are the most relevant for the given class expression to capture them. Moreover , we provide guidance on how to refine the given expression to better describe the set of objects. The approach is used to characterize test results that lead to a specific maintenance corrective action, and in this paper is illustrated to define sub-classes of aviation reports related to specific aircraft equipment.
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Contributor : Luis Palacios <>
Submitted on : Friday, November 10, 2017 - 6:15:53 PM
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  • HAL Id : hal-01632675, version 1


Luis Palacios Medinacelli, Yue Ma, Gaëlle Lortal, Claire Laudy, Chantal Reynaud, et al.. Data Driven Concept Refinement to Support Avionics Maintenance. Proceedings of the IJCAI Workshop on Semantic Machine Learning , Aug 2017, Melbourne, Australia. ⟨hal-01632675⟩



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