A columnar architecture for modern risk management systems

Conference paper (2016)

Authors

Romulo Gonçalves Netherlands eScience Center
S. Zlatanova Urban Data Science - Architecture and the Built Environment
Kostis Kyzirakos Centrum Wiskunde & Informatica (CWI)
P. Nourian Design Informatics - Architecture and the Built Environment
Foteini Alvanaki Centrum Wiskunde & Informatica (CWI)
Willem van Hage Netherlands eScience Center
Research Group
Urban Data Science (Architecture and the Built Environment) (TU Delft)
Copyright: © 2016 Romulo Gonçalves, S. Zlatanova, Kostis Kyzirakos, Pirouz Nourian, Foteini Alvanaki, Willem van Hage
DOI: https://doi.org/10.1109/eScience.2016.7870929
Urban areas Analytical models Buildings Semantics Data models Three-dimensional displays Solid modeling
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Published Date

26-10-2016

Language

English

Reuse Rights

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Faculty

Architecture and the Built Environment

Department

Urbanism

Research Group

Urban Data Science

Abstract

3D digital city models form the basis for flow simulations (e.g. wind flow and water runoff), urban planning, underand over- ground formation analysis, and they are very important for automated anomaly detection on man made structures. They consist of large collections of semantically rich objects which have many properties such as material and color. Such user’s data structure perception is leading to complex storage schemas. The number of table relations to manage and the large data storage footprint drawbacks are then extended with the fact that not all the systems have a "real" 3D data type.
In this work we would like to show our efforts to develop a new kind of Spatial Data Management System (SDBMS) where topological and geometric functionality for 3D raster manipulation will become part of the relational kernel and not an add-on. With it spatial analysis tailored to different use case scenarios is done on-demand and fast enough to support real-time interaction in modern risk management systems.