By Topic

Interpretation of Natural Language Database Queries Using Optimization Methods

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
William Leigh ; University of Southern Mississippi, Department of Computer Science and Statistics, Box 5106, Hattiesburg, MS 39466, USA ; James Evans

The automatic interpretation of natural language (English) database questions formulated by a user untrained in the technical aspects of database querying is an established problem in the field of artificial intelligence. State-of-the-art approaches involve the analysis of queries with syntactic and semantic grammars expressed in phrase structure grammer or transition network formalisms. With such methods difficulties exist with the detection and resolution of ambiguity, with the misinterpretation possibilities inherent with finite length look-ahead, and with the modification and extension of a mechanism for other sources of semantic knowledge. The potential of optimization techniques to solve these problems and interpret natural language database queries is examined.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics  (Volume:16 ,  Issue: 1 )