Abstract
It is always a challenge by using statistical method in corpus database to analyze semantics of natural language Sentences (NLS). This paper proposes a method of recognizing and translating ontology query in natural language, called OntoQuery-NLP. With the help of pre-create semantic templates, the OntoQuery-NLP maps NLSs matching the format of the semantic templates into formal semantic expressions. By parsing these semantic expressions, the OntoQuery-NLP recognizes the queries and gets the correct answers from ontology. Compared with other methods, the OntoQuery-NLP, without the support of any corpus, has faster retrieving speed and higher retrieving accuracy.
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