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  A columnar architecture for modern risk management systems

Goncalves, R., Zlatanova, S., Kyzirakos, K., Nourian, P., Alvanaki, F., van Hage, W. (2016): A columnar architecture for modern risk management systems - Proceedings, 2016 IEEE 12th International Conference on e-Science (e-Science) (Baltimore, MD, USA 2016).
https://doi.org/10.1109/eScience.2016.7870929

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 Creators:
Goncalves, Romulo1, Author              
Zlatanova, Sisi2, Author
Kyzirakos, Kostis2, Author
Nourian, Pirouz2, Author
Alvanaki, Foteini2, Author
van Hage, Willem2, Author
Affiliations:
10 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146023              
2External Organizations, ou_persistent22              

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Free keywords: Three-dimensional displays; Urban areas; Solid modeling; Semantics; Buildings; Analytical models; Data models
 Abstract: 3D digital city models form the basis for flow simulations (e.g. wind flow and water runoff), urban planning, under-and 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.

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Language(s): eng - English
 Dates: 20162016
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/eScience.2016.7870929
 Degree: -

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Title: 2016 IEEE 12th International Conference on e-Science (e-Science)
Place of Event: Baltimore, MD, USA
Start-/End Date: 2016-10-23 - 2016-10-23

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Title: Proceedings
Source Genre: Proceedings
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