Towards a question answering system based on precisiated natural language
作者： Mehdi Rohaninezhad , Nazlia Omar
DOI: 10.1109/STAIR.2011.5995771
关键词: Knowledge representation and reasoning 、 Question answering 、 Artificial intelligence 、 Natural language 、 Vagueness 、 Semantic Web 、 Soft computing 、 Ontology 、 Computer science 、 Language identification 、 Natural language processing
摘要: Precisiated natural language is a new paradigm in soft computing based on information granulation. This placed central position of many investigations the field human machine interaction these years. Precisited addresses model for dealing with vagueness and suggests kind knowledge representation, deduction computational approach manipulation. Moreover, ontological architecture an accepted developing this theory. In work we are going to develop ontology question answering system which one crucial application paradigm.
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