Conceptual modeling for traditional and spatio-temporal applications: The MADS approach

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Abstract

From environmental management to land planning and geo-marketing, the number of application domains that may greatly benefit from using data enriched with spatio-temporal features is expanding very rapidly. This book shows that a conceptual design approach for spatio-temporal databases is both feasible and easy to apprehend. While providing a firm basis through extensive discussion of traditional data modeling concepts, the major focus of the book is on modeling spatial and temporal information. The authors provide a detailed and comprehensive description of an approach that fills the gap between application conceptual requirements and system capabilities, covering both data modeling and data manipulation features. The ideas presented summarize several years of research on the characteristics and description of space, time, and perception. In addition to the authors' own data modeling approach, MADS (Modeling of Application Data with Spatio-temporal features), the book also surveys alternative data models and approaches (from industry and academia) that target support of spatio-temporal modeling. Visual notations and examples are employed extensively to. © Springer-Verlag Berlin Heidelberg 2006. All rights are reserved.

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Parent, C., Spaccapietra, S., & Zimányi, E. (2006). Conceptual modeling for traditional and spatio-temporal applications: The MADS approach. Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach (pp. 1–465). Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-30326-X

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