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C. Parent, S. Spaccapietra, and E. Zimányi. Spatio-Temporal Conceptual Models: Data Structures + Space + Time. In Proceedings of the 7th ACM Symposium on Advances in Geographic Information Systems, ACM GIS, pages 26-33. ACM Press, Kansas City, KA, November 1999.

Abstract

Nowadays, a large number of applications need data modeling facilities supporting the description of complex objects with spatial and/or temporal facilities. Responses to such requirements may be found in current Geographic Information Systems (GIS), in some major DBMS or in the research literature. However, most of existing models only partly cover the requirements (typically, they address either spatial or temporal modeling), and most of them are at the logical level, hence not well suited to support database design. This paper proposes a data modeling approach, MADS, that deals with space and time modeling at the conceptual level. The proposal stems from the identification of the criteria to be met for a conceptual data model. It is shown that orthogonality is the key issue. Moreover, the proposal focuses on highlighting similarities in the modeling of space and time, which enhance readability and understandability of the model.


Updated: 2017-03-27