DocumentCode
2921670
Title
Towards a question answering system based on precisiated natural language
Author
Rohaninezhad, Mehdi ; Omar, Nazlia
Author_Institution
Fac. of Inf. Sci. & Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear
2011
fDate
28-29 June 2011
Firstpage
94
Lastpage
98
Abstract
Precisiated natural language is a new paradigm in soft computing based on information granulation. This paradigm is placed in central position of many investigations in the field of human machine interaction in these years. Precisited natural language addresses a model for dealing with vagueness of information and suggests a kind of knowledge representation, deduction and computational approach for natural language manipulation. Moreover, ontological architecture is an accepted model for developing this theory. In this work we are going to develop an ontology based question answering system which is one of crucial application of this paradigm.
Keywords
man-machine systems; natural language processing; ontologies (artificial intelligence); question answering (information retrieval); uncertainty handling; human machine interaction; information granulation; knowledge representation; natural language manipulation; ontological architecture; precisiated natural language; question answering system; soft computing; Cognition; Computational modeling; Databases; Natural languages; OWL; Ontologies; Computing with words; fuzzy logic; ontology; precisiated natural language; question answering systems; semantic web;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on
Conference_Location
Putrajaya
Print_ISBN
978-1-61284-354-4
Electronic_ISBN
978-1-61284-353-7
Type
conf
DOI
10.1109/STAIR.2011.5995771
Filename
5995771
Link To Document