A columnar architecture for modern risk management systems

Romulo Gonçalves; Sisi Zlatanova; Kostis Kyzirakos; Pirouz Nourian; Foteini Alvanaki; Willem van Hage

doi:10.1109/eScience.2016.7870929

A columnar architecture for modern risk management systems

Romulo Gonçalves, Sisi Zlatanova, Kostis Kyzirakos, Pirouz Nourian, Foteini Alvanaki, Willem van Hage

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

173 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE 12th International Conference on e-Science
Publisher	IEEE
Pages	424-429
ISBN (Print)	978-1-5090-4272-2
DOIs	https://doi.org/10.1109/eScience.2016.7870929
Publication status	Published - 26 Oct 2016
Event	IEEE 12th International Conference on eScience 2016 - Baltimore, United States Duration: 23 Oct 2016 → 27 Oct 2016 Conference number: 12 http://escience-2016.idies.jhu.edu/

Conference

Conference	IEEE 12th International Conference on eScience 2016
Abbreviated title	IEEE eScience 2016
Country/Territory	United States
City	Baltimore
Period	23/10/16 → 27/10/16
Internet address	http://escience-2016.idies.jhu.edu/

Bibliographical note

Accepted Author Manuscript

Keywords

Three-dimensional displays
Urban areas
Solid modeling
Semantics
Buildings
Analytical models
Data models

Access to Document

10.1109/eScience.2016.7870929

escience_Columnar_DBMS_Romulo_et_alAccepted author manuscript, 943 KB

Cite this

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title = "A columnar architecture for modern risk management systems",

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{\textquoteright}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.",

keywords = "Three-dimensional displays, Urban areas, Solid modeling, Semantics, Buildings, Analytical models, Data models",

author = "Romulo Gon{\c c}alves and Sisi Zlatanova and Kostis Kyzirakos and Pirouz Nourian and Foteini Alvanaki and {van Hage}, Willem",

note = "Accepted Author Manuscript; IEEE 12th International Conference on eScience 2016, IEEE eScience 2016 ; Conference date: 23-10-2016 Through 27-10-2016",

year = "2016",

month = oct,

day = "26",

doi = "10.1109/eScience.2016.7870929",

language = "English",

isbn = "978-1-5090-4272-2",

pages = "424--429",

booktitle = "Proceedings of the 2016 IEEE 12th International Conference on e-Science",

publisher = "IEEE",

address = "United States",

url = "http://escience-2016.idies.jhu.edu/",

}

Gonçalves, R, Zlatanova, S, Kyzirakos, K, Nourian, P, Alvanaki, F & van Hage, W 2016, A columnar architecture for modern risk management systems. in Proceedings of the 2016 IEEE 12th International Conference on e-Science., 7870929, IEEE, pp. 424-429, IEEE 12th International Conference on eScience 2016, Baltimore, United States, 23/10/16. https://doi.org/10.1109/eScience.2016.7870929

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AU - Gonçalves, Romulo

AU - Zlatanova, Sisi

AU - Kyzirakos, Kostis

AU - Nourian, Pirouz

AU - Alvanaki, Foteini

AU - van Hage, Willem

N1 - Conference code: 12

PY - 2016/10/26

Y1 - 2016/10/26

N2 - 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.

AB - 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.

KW - Three-dimensional displays

KW - Urban areas

KW - Solid modeling

KW - Semantics

KW - Buildings

KW - Analytical models

KW - Data models

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U2 - 10.1109/eScience.2016.7870929

DO - 10.1109/eScience.2016.7870929

M3 - Conference contribution

SN - 978-1-5090-4272-2

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BT - Proceedings of the 2016 IEEE 12th International Conference on e-Science

PB - IEEE

T2 - IEEE 12th International Conference on eScience 2016

Y2 - 23 October 2016 through 27 October 2016

ER -

A columnar architecture for modern risk management systems

Abstract

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Bibliographical note

Keywords

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