Title: Providing Temporal Support in Data Base Management Systems for Global Change Research
Author(s): Ke Qiu, Nabil I. Hachem, Matthew O. Ward, and Michael A. Gennert, Computer Science Department, Worcester Polytechnic Institute, Worcester, MA 01609
Source: Sixth International Working Conference on Scientific and Statistical Database Management, June, 1992.
Abstract: Time is essential in modeling the constantly changing world. However, conventional database systems represent the real world with only a tenseless snapshot that is inadequate for many applications where facts and data need to be interpreted in the context of time. In this work we examine some of the issues applicable to temporal modeling, including examples which illustrate the demands imposed by database management systems for global change research. The main contribution of this paper is the proposal of a framework for managing temporal information in scientific databases. The characteristics of this model are:
email@example.com / Aug 8, 1996