On the integration of data and mathematical modeling languages

This paper examines ways in which the addition of data modeling features can enhance the capabilities of mathematical modeling languages. It demonstrates how such integration is achieved as an application of the embedded languages technique proposed by Bhargava and Kimbrough. Decision-making, and decision support systems, require the representation and manipulation of both data and mathematical models. Several data modeling languages as well as several mathematical modeling languages exist, but they have different sets of these capabilities. The authors motivate with a detailed example the need for the integration of these capabilities. They describe the benefits that might result, and claim that this could lead to a significant improvement in the functionality of model management systems. Then the authors present their approach for the integration of these languages, and specify how the claimed benefits can be realized.