Pattern recognition driven by domain ontologies

Abstract

The idea of using ontological models as a source of knowledge necessary to construct composite, multi-step pattern recognition procedures is presented in the paper. Special attention is paid to the structure of pattern recognition processes as sequences of decisions forming paths in bi-partite graphs describing pattern recognition networks. It is shown that such processes correspond to multi-step pattern recognition procedures described in literature, as well as they may describe more general classes of pattern recognition procedures. Construction of a multi-step pattern recognition procedure aimed at extraction of information about moving objects is illustrated by an example.