Journal :   International Journal of Technology

Volume No. :   1

Issue No. :  2

Year :  2011

Pages :   96-100

ISSN Print :  2231-3907

ISSN Online :  2231-3915


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Query Optimization Using Natural Language Processing



Address:   Ashish Tamrakar, Deepty Dubey
Chhatrapati Shivaji Institute of Technology, Durg. CG
*Corresponding Author
DOI No:

ABSTRACT:
The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. Recently, more and more work is shifting toward hybrid methods that combine new empirical corpus-based methods, including the use of probabilistic and information theoretic techniques, with traditional symbolic methods. The main purpose of Natural Language Query Processing is for an English sentence to be interpreted by the computer and appropriate action taken. Asking questions to databases in natural language is a very convenient and easy method of data access, especially for casual users who do not understand complicated database query languages such as SQL. This paper proposes the architecture for translating English Query into SQL using Semantic Grammar
KEYWORDS:
Query Optimization Using Natural Language Processing
Cite:
Ashish Tamrakar, Deepty Dubey. Query Optimization Using Natural Language Processing. Int. J. Tech. 1(2): July-Dec. 2011; Page 96-100
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