The Community for Technology Leaders
Green Image
ABSTRACT
<p>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.</p>
INDEX TERMS
user interfaces; knowledge engineering; quality responses; natural language interfaces; relational database model; query language; SQL; null value responses; knowledge base; RM/T; extended relational model; knowledge engineering; natural languages; query languages; relational databases; user interfaces
CITATION
N. Cercone, M. Kao, W.S. Luk, "Providing Quality Responses with Natural Language Interfaces: The Null Value Problem", IEEE Transactions on Software Engineering, vol. 14, no. , pp. 959-984, July 1988, doi:10.1109/32.42738
106 ms
(Ver 3.1 (10032016))