A Branch-and-Bound Algorithm for Natural Language Database Query Using Metadata Search

Abstract

This paper presents a branch-and-bound algorithm to process free-text natural language database queries based on the metadata search approach. The approach uses a metadata reference dictionary represented in a semantic graph of enterprise databases. User words, query cases, information models, and database values are vertices of the graph. The paper concludes with possible extensions to offer a full capability of free-text natural language database queries.

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E-mail: cast@kmitl.ac.th

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Boonjing, V. . (2018). A Branch-and-Bound Algorithm for Natural Language Database Query Using Metadata Search. CURRENT APPLIED SCIENCE AND TECHNOLOGY, 23-34.

References

Androutsopoulos, I., Ritchie, G.D., and Thanisch, P. 1995. Natural language interfaces to databases – An introduction, Journal of Natural Language Engineering Vol. 1 No. 1: pp. 29-81.
Boonjing, V. and Hsu C. 2002. Metadata Search: A New Approach to Natural Language Database Interfaces. Proceedings IASTED International Conference on Information Systems and Databases. Tokyo, Japan.
Hsu, C. Bouziane, M. Ratter, L. and Yee, L. 1991. Information Resources Management in Heterogeneous, Distributed Environments: A Metadatabase Approach. IEEE Tran. On Software Engineering Vol. 17 No. 6: pp. 604-625.
He Hong, et al., Herb and Animal Medicine and Their Growing and Processing Technique (Jindun Press, 2001), 79-83.
Hsu, C. 1996. Enterprise Integration and Modeling: the Metadatabase Approach. Boston: Kluwer Academic Publishers.

Author Information

Veera Boonjing

Mathematics and Computer Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

A Branch-and-Bound Algorithm for Natural Language Database Query Using Metadata Search

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Veera Boonjing

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