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
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;
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
DOI :
10.1109/STAIR.2011.5995771
