Supporting Data Analytics for Smart Cities: An Overview of Data Models and Topology

被引：3

作者：

Bradley, Patrick E. ^{[1
]}

机构：

[1] Karlsruhe Inst Technol, D-76131 Karlsruhe, Germany

来源：

STATISTICAL LEARNING AND DATA SCIENCES | 2015年 / 9047卷

关键词：

3D CITY MODELS; TRANSACTION RULES; MAPS;

D O I：

10.1007/978-3-319-17091-6_35

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An overview of data models suitable for smart cities is given. CityGML and G-maps implicitly model the underlying combinatorial structure, whereas topological databases make this structure explicit. This combinatorial structure is the basis for topological queries, and topological consistency of such data models allows for correct answers to topological queries. A precise definition of topological consistency in the two-dimensional case is given and an application to data models is discussed.

引用

页码：406 / 413

页数：8

共 41 条

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Leal, Alejandro ;

Huehne, Kathrin ;

Bauer, Finn ;

Sticht, Heinrich ;

Berger, Philipp ;

Suter, Ueli ;

Morera, Bernal ;

Del Valle, Gerardo ;

Lupski, James R. ;

Ekici, Arif ;

Pasutto, Francesca ;

Endele, Sabine ;

Barrantes, Ramiro ;

Berghoff, Corinna ;

Berghoff, Martin ;

Neundoerfer, Bernhard ;

Heuss, Dieter ;

Dorn, Thomas ;

Young, Peter ;

Santolin, Lisa ;

Uhlmann, Thomas ;

Meisterernst, Michael ;

Sereda, Michael ;

zu Horste, Gerd Meyer ;

Nave, Klaus-Armin ;

Reis, Andre ;

Rautenstrauss, Bernd .

NEUROGENETICS, 2009, 10 (04) :275-287

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