Title :
Fuzzy ontology for natural language
Author :
Taylor, Julia M. ; Raskin, Victor
Author_Institution :
CERIAS & Linguistics, Purdue Univ., West Lafayette, IN, USA
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.
Keywords :
fuzzy set theory; natural language processing; ontologies (artificial intelligence); fuzzy ontology; natural language meaning processing; ontological semantic technology; Educational institutions; Fuzzy logic; Fuzzy reasoning; Humans; Natural language processing; Natural languages; Ontologies; Paper technology; Proposals; Size measurement; Computing with words; computational semantics; meaning; natural language; ontology;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-7859-0
Electronic_ISBN :
978-1-4244-7857-6
DOI :
10.1109/NAFIPS.2010.5548416
