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@inproceedings{DBLP:conf/vldb/BaumannDFRW99,
author = {Peter Baumann and
Andreas Dehmel and
Paula Furtado and
Roland Ritsch and
Norbert Widmann},
editor = {Malcolm P. Atkinson and
Maria E. Orlowska and
Patrick Valduriez and
Stanley B. Zdonik and
Michael L. Brodie},
title = {Spatio-Temporal Retrieval with RasDaMan},
booktitle = {VLDB'99, Proceedings of 25th International Conference on Very
Large Data Bases, September 7-10, 1999, Edinburgh, Scotland,
UK},
publisher = {Morgan Kaufmann},
year = {1999},
isbn = {1-55860-615-7},
pages = {746-749},
ee = {db/conf/vldb/BaumannDFRW99.html},
crossref = {DBLP:conf/vldb/99},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Database support for multidimensional arrays is an area of growing importance; a variety of high-volume applications such as spatio-temporal data management and statistics/OLAP become focus of academic and market interest.
RasDaMan is a domain-independent array database management system with server-based query optimization and evaluation. The system is fully operational and being used in international projects. We will demonstrate spatio-temporal retrieval using the rView visual query client. Examples will encompass 1-D time series, 2-D images, 3-D and 4-D voxel data. The real-life data sets used stem from life sciences, geo sciences, numerical simulation, and climate research.
Copyright © 1999 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.
