Fuzzy ontology for natural language

Abstract

The paper outlines a framework for a full incorporation of fuzziness into a comprehensive system of natural language meaning processing with the help of ontological semantic technology. It goes far beyond the traditional examples of fuzziness for natural language modifiers, claiming that fuzziness is pervasive throughout natural language and cannot be avoided without a considerable penalty on accuracy.