Synonyms
Data modeling; Multiscale databases; Multirepresentation
Definition
Multirepresentation generalizes known concepts such as database views and geographic multiscale databases. This chapter describes the handling of multi‐representation in the MADS (Modeling Application Data with Spatio‐temporal features) data modeling approach. MADS builds on the concept of orthogonality to support multiple modeling dimensions. The structural basis of the MADS model is based on extended entity‐relationship (ER) constructs. This is complemented with three other modeling dimensions: space, time, and representation. The latter allows the specification of multiple perceptions of the real world and modeling of the multiple representations of real-world elements that are needed to materialize these perceptions.
Historical Background
Traditional database design organizes the data of interest into a database schema, which describes objects and their relationships, as well as their attributes. At the...
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Recommended Reading
Chen, P.P.: The entity‐relationship model: towards a unified view of data. ACM Trans. Database Syst. 1, 9–36 (1976)
Rumbaugh, J., Jacobson, I., Booch, G.: The Unified Modeling Language, Reference Manual, 2nd edn. Addison‐Wesley, Boston (2005)
Bédard, Y., Pageau, J., Caron, C.: Spatial data modeling: the Modul-R formalism and CASE technology. In: Proceedings of the ISPRS Symposium, Washington, 1–14 Aug 1992
Tryfona, N., Jensen, C.S.: Conceptual Data Modeling for Spatiotemporal Application. GeoInformatica 3(3), 245-268 (1999)
Parent, C., Spaccapietra, S., Zimányi, E.: Conceptual Modeling for Traditional and Spatio‐temporal Applications: The MADS Approach. Springer, Berlin, Heidelberg (2006)
Price, R., Ramamohanarao, K., Srinivasan, B.: Spatio‐temporal Extensions to Unified Modeling Language. In: Proceedings of the Workshop on Spatio‐temporal Data Models and Languages, IEEE DEXA'99 Workshop, Florence, Italy, 1–3 Sept 1999
Bédard, Y., Larrivée, S., Proulx, M.J., Nadeau, M.: Modeling geospatial databases with plug-ins for visual languages: a pragmatic approach and the impacts of 16 years of research and experimentations on perceptory. In: Wang, S. et al. (eds.) ER Workshops, Shanghai, China. Lecture Notes in Computer Science, vol. 3289, pp. 17–30. Springer, Berlin, Heidelberg (2004)
David, B., Raynal, L., Schorter, G.: GeO2: Why objects in a geographical DBMS? In: Abel, D.J., Ooi, B.C. (eds.) Proceedings of the 3rd International Symposium on Advances in Spatial Databases, SSD'93, Singaporer, 23–25 June 1993. Lecture Notes in Computer Science, vol. 692, pp. 264–276. Springer Berlin, Heidelberg (1993)
Bédard, Y., Bernier, É.: Supporting multiple representations with spatial databases view management and the concept of VUEL. In: The Joint Workshop on Multi-Scale Representation of Spatial Data, ISPRS WG IV/3, ICA Commission. On Map Generalization, Ottawa, Canada, 7–8 July 2002
Parent, C., Spaccapietra, S., Zimányi, E.: The MurMur Project: modeling and querying multi‐represented spatio‐temporal databases. Inf. Syst. 31, 733–769 (2006)
Erwig, M., Schneider, M.: Spatio‐temporal predicates. IEEE Trans. Knowledge Data Eng. 14, 881–901 (2002)
Weibel, R., Dutton, G.: Generalizing spatial data and dealing with multiple representations. In: Longley, P.A., Goodchild, M.F., Maguire, D.J., Rhind, D.W. (eds.) Geographical Information Systems: Principles, Techniques, Management and Applications, 2nd edn. vol. 1, pp. 125–155. Wiley, New York (1999)
Koubarakis, M. et al. (eds.): Spatio‐temporal Databases: The Chorochronos Approach. Lecture Notes in Computer Science, vol. 2520. Springer, Berlin, Heidelberg (2003)
Güting, R.H., Schneider, M.: Moving Objects Databases. Morgan Kaufmann, Amsterdam (2005)
Malinowski, E., Zimányi, E.: Advanced data warehouse design: From conventional to spatial and temporal applications. Springer, Berlin, Heidelberg (2007, in press)
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Parent, C., Spaccapietra, S., Zimányi, E. (2008). Modeling and Multiple Perceptions. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_805
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DOI: https://doi.org/10.1007/978-0-387-35973-1_805
Publisher Name: Springer, Boston, MA
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