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Open AccessArticle10.3217/jucs-016-20-2986

A Geometrically Enhanced Conceptual Model and Query Language

Hui Ma-2020-04-07-Zenodo (CERN European Organization for Nuclear Research)
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TL;DRAbstract

Motivated by our experiences with spatial modelling for the sustainable land use initiative we present a geometrically enhanced ER model (GERM), which preserves the key principles of entity-relationship modelling and at the same time introduces bulk constructors and geometric features. 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.

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Motivated by our experiences with spatial modelling for the sustainable land use initiative we present a geometrically enhanced ER model (GERM), which preserves the key principles of entity-relationship modelling and at the same time introduces bulk constructors and geometric features. 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.

Keywords

RDF query languageComputer scienceQuery languageQuery optimizationConceptual modelObject Query LanguageProgramming languageSargable

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