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

Authors:
Alexander Brodsky;Mayur M. Bhot;Manasa Chandrashekar;Nathan E. Egge;X. Sean Wang
Affiliations:
George Mason University, Fairfax, VT, USA;George Mason University, Fairfax, VT, USA;George Mason University, Fairfax, VT, USA;George Mason University, Fairfax, VT, USA;University of Vermont, Burlington, VT, USA
Venue:
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Year:
2009

Citing 1
Cited 3

Decision-Guidance Management Systems (DGMS): Seamless Integration of Data Acquisition, Learning, Prediction and Optimization

HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences

A declarative recommender system for cloud infrastructure services selection

GECON'12 Proceedings of the 9th international conference on Economics of Grids, Clouds, Systems, and Services
Distributed Manufacturing Networks: Optimization via Preprocessing in Decision Guidance Query Language

International Journal of Decision Support System Technology
Optimizing Procurement Decisions in Networked Virtual Enterprises

International Journal of Decision Support System Technology

Quantified Score

Hi-index	0.00

Visualization

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.