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Providing quality responses with natural language interfaces: the null value problem

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3 Author(s)
Kao, M. ; Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC, Canada ; Cercone, N. ; Luk, W.-S.

An underlying relational database model and the database query language SQL are assumed, and methods are presented for responding with appropriate answers to null value responses. This is done by using a knowledge base based on RM/T, an extended relational model. The advantages of this approach are described. To demonstrate the utility of the knowledge base model, a simple knowledge base is constructed. The algorithms that provide additional information when a null answer is returned are detailed

Published in:

Software Engineering, IEEE Transactions on  (Volume:14 ,  Issue: 7 )