A decisions query language (DQL)

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

A decisions query language (DQL): high-level abstraction for mathematical programming over databases

Full text

Pdf (682 KB)

Source

International Conference on Management of Data archive
Proceedings of the 35th SIGMOD international conference on Management of data table of contents

Providence, Rhode Island, USA

DEMONSTRATION SESSION: Demonstration session: group B table of contents

Pages 1059-1062

Year of Publication: 2009

ISBN:978-1-60558-551-2

Authors

Alexander Brodsky	George Mason University, Fairfax, VT, USA
Mayur M. Bhot	George Mason University, Fairfax, VT, USA
Manasa Chandrashekar	George Mason University, Fairfax, VT, USA
Nathan E. Egge	George Mason University, Fairfax, VT, USA
X. Sean Wang	University of Vermont, Burlington, VT, USA

Sponsors

ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 25, Downloads (12 Months): 90, Citation Count: 0

Additional Information:

abstract references index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1559845.1559981 What is a DOI?

ABSTRACT

The demonstrated, high-level decisions query language DQL combines the decision optimization capability of mathematical programming and the data manipulation capability of traditional database query languages. DQL benefits application developers in two aspects. First, it avoids a conceptual impedance mismatch between mathematical programming and data access and makes decision optimization functionality readily accessible to database programmers with no prior experience in operations research. Second, a tight integration provides unique opportunities for more efficient evaluation as compared to a loosely coupled system. This demonstration uses an emergency response scenario to illustrate the power of the language and its implementation.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Alexander Brodsky , X. Sean Wang, Decision-Guidance Management Systems (DGMS): Seamless Integration of Data Acquisition, Learning, Prediction and Optimization, Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences, p.71, January 07-10, 2008 [doi>10.1109/HICSS.2008.114]
	2	http://www.ampl.com