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A. Vaisman and E. Zimányi. What is Spatio-Temporal Data Warehousing? In T. B. Pedersen, M. K. Mohania, and A. M. Tjoa, editors, Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2009, number 5691 in Lecture Notes in Computer Science, pages 9-23. Springer-Verlag, Linz, Austria, August-September 2009.

Abstract

In the last years, extending OLAP (On-Line Analytical Processing) systems with spatial and temporal features has attracted the attention of the GIS (Geographic Information Systems) and database communities. However, there is no a commonly agreed definition of what is a spatio-temporal data warehouse and what functionality such a data warehouse should support. Further, the solutions proposed in the literature vary considerably in the kind of data that can be represented as well as the kind of queries that can be expressed. In this paper we present a conceptual framework for defining spatio-temporal data warehouses using an extensible data type system. We also define a taxonomy of different classes of queries of increasing expressive power, and show how to express such queries using an extension of the tuple relational calculus with aggregated functions.


Updated: 2017-03-27