Geometrically enhanced conceptual modelling

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Abstract

Motivated among others by the need to support spatial modelling for the sustainable land use initiative we present a geometrically enhanced ER model (GERM), which preserves the key principles of ER modelling and at the same time introduces bulk constructions and types that support geometric objects. The model distinguishes between a syntactic level of types and an explicit internal level, in which types give rise to polyhedra that are defined by algebraic varieties. It further emphasises the stability of algebraic operations by means of a natural modelling algebra that extends the usual Boolean operations on point sets. © Springer-Verlag 2009.

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Ma, H., Schewe, K. D., & Thalheim, B. (2009). Geometrically enhanced conceptual modelling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5829 LNCS, pp. 219–233). https://doi.org/10.1007/978-3-642-04840-1_18

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