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 volumeConference contributionScientificpeer-review

1 Citation (Scopus)
70 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 languageEnglish
Title of host publicationProceedings of the 2016 IEEE 12th International Conference on e-Science
PublisherIEEE
Pages424-429
ISBN (Print)978-1-5090-4272-2
DOIs
Publication statusPublished - 26 Oct 2016
EventIEEE 12th International Conference on eScience 2016 - Baltimore, United States
Duration: 23 Oct 201627 Oct 2016
Conference number: 12
http://escience-2016.idies.jhu.edu/

Conference

ConferenceIEEE 12th International Conference on eScience 2016
Abbreviated titleIEEE eScience 2016
CountryUnited States
CityBaltimore
Period23/10/1627/10/16
Internet address

Keywords

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

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  • Cite this

    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 (pp. 424-429). [7870929] IEEE. https://doi.org/10.1109/eScience.2016.7870929