Authors:
Bruno Albert
1
;
Cecilia Zanni-Merk
2
;
François de Bertrand de Beuvron
2
;
Jean-Luc Maire
3
;
Maurice Pillet
3
;
Julien Charrier
4
and
Christophe Knecht
4
Affiliations:
1
Insa de Strasbourg, Université Savoie Mont-Blanc and INEVA, France
;
2
Insa de Strasbourg, France
;
3
Université Savoie Mont-Blanc, France
;
4
INEVA, France
Keyword(s):
Sensory Perception, Haptics, Smart System, Semantic Analysis, Quality Control, Perceived Quality.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Domain Analysis and Modeling
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontology Matching and Alignment
;
Symbolic Systems
Abstract:
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.
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