Techniques for managing very large scientific databases

Author

Campbell, W.J. ; Fekete, Gabor ; Wall, R. ; Goldberg, Marius

fYear

1992

fDate

19-23 Oct 1992

Firstpage

362

Lastpage

365

Abstract

Discusses issues relating to the state of the art in scientific data management. Management of scientific data sets or databases is reviewed. The generic science requirements, as well as a case example that drives the underlying data management system architecture are explored, showing current technology limitations. A concept of intelligent information fusion with sufficient detail on how to integrate advanced technologies to enhance scientific production, is presented. Emphasis is on user interfaces, spatial data structure, uses of neural networks for extracting information from scientific imagery, uses of object-oriented database management systems, animation, and visualization techniques

Keywords

natural sciences computing; neural nets; object-oriented databases; spatial data structures; user interfaces; very large databases; animation; data management system architecture; databases; intelligent information fusion; neural networks; object-oriented database management systems; scientific data management; scientific data sets; scientific imagery; spatial data structure; user interfaces; very large scientific databases; visualization techniques; Data mining; Data structures; Data visualization; Image databases; Intelligent systems; Object oriented databases; Space technology; Spatial databases; Technology management; User interfaces;

fLanguage

English

Publisher

ieee

Conference_Titel

Visualization, 1992. Visualization '92, Proceedings., IEEE Conference on

Conference_Location

Boston, MA

Print_ISBN

0-8186-2897-9

Type

conf

DOI

10.1109/VISUAL.1992.235187

Filename

235187