Feature ontologies for the explicit representation of shape semantics
by Gino Brunetti, Stephan Grimm
International Journal of Computer Applications in Technology (IJCAT), Vol. 23, No. 2/3/4, 2005

Abstract: CAx systems typically encode the semantics of shapes as so-called parametric features on different levels of abstraction. Here we discuss an approach that combines feature-based parametric modelling with techniques from the field of knowledge representation and ontological reasoning. Parametric models refer to feature ontologies that model feature semantics on several levels of granularity. On higher levels, the interrelation between features and feature interoperability is captured whereas on lower levels a feature is described in terms of geometric, topological and parametric entities. Different engineering tasks can utilise feature ontologies as a basis for application-specific shape reasoning across several modelling layers.

Online publication date: Sun, 13-Mar-2005

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