Keywords: semantic, expert knowledge, labelling, segmentation.

Abstract: using semantic to drive data manipulation is an efficient way to integrate expert knowledge into the process. Ontologies are a useful and efficient way to describe semantic.

I'm working since 2014 on an original approach to drive the mesh segmentation using expert knowledge, via ontologies and a dedicated expert system. This research activity is a way to connect my old work on ontologies and the geometry processing.

  • since 2014: Marco Attene, and the shape modelling group, IMATI, Genoa, Italy.
  • since 2014: Thomas Dietenbeck
  • T. Dietenbeck, F. Torkhani, A. Othmani, M. Attene, Favreau J.-M. Multi-layer Ontologies for Integrated 3D Shape Segmentation and Annotation. In Advances in Knowledge Discovery and Management. Springer International Publishing Switzerland. (2016). bibtex
  • T. Dietenbeck, A. Othmani, M. Attene, Favreau J.-M. A Framework for Mesh Segmentation and Annotation using Ontologies. In Extraction et gestion des connaissances (EGC'2015), Actes, 27 au 30 janvier 2015, Luxembourg. (2015). bibtex
  • J. Bézivin, V. Devedzic, D. Djuric, J.-M. Favreau, D. Gasevic, F. Jouault An M3-Neutral infrastructure for bridging model engineering and ontology engineering. In Int. Conf. on Interoperability of Enterprise Software and Applications (INTEROP-ESA). pp. 159-171. Springer. Geneva, Switzerland (2005). bibtex