Mammographie image based possibilistic ontological representation

This paper represents a novel approach for ontology modeling using the possibility theory. In one hand, ontology has become the enabler of knowledge exchange among data sources. On the other hand, the possibility theory represents a powerful mean to handle uncertainty and to deal with ambiguous information. The proposed approach combines both paradigms in order to perform ontology capabilities through possibility representation. Our approach attempts to model ontological instances from mammographic images based on possibility theory. The proposed approach has been tested over real mammographic data.