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Perceived quality has become an important factor in the choice of products by customers. The human perception process involves complex phenomena at a physical and psychological level that enable us to sense the world and extract information about it. Because of the qualitative way humans represent and communicate sensations, the field of sensory perceptions makes extensive use of semantics. The use of knowledge-based systems in the field of perceived quality is hence natural. This project focuses on haptics in quality control in industry. In particular, the aim is to develop a smart system which will enable to make decisions about the haptic quality of a product. This paper introduces the framework used for the development of this smart system, based on the KREM model. An ontological structure is proposed in order to represent knowledge related to the measure of sensory perceptions in general, and of haptic ones in particular. The proposed domain ontologies about haptic control, that were elicited using semantic analysis, are aligned with the SSN ontology.

A Smart System for Haptic Quality Control - Introducing an Ontological Representation of Sensory Perception Knowledge