DocumentCode
3533526
Title
Fuzzy ontology for natural language
Author
Taylor, Julia M. ; Raskin, Victor
Author_Institution
CERIAS & Linguistics, Purdue Univ., West Lafayette, IN, USA
fYear
2010
fDate
12-14 July 2010
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/NAFIPS.2010.5548416
Filename
5548416
Link To Document