ACM SIGMOD Anthology VLDB dblp.uni-trier.de

Spatio-Temporal Retrieval with RasDaMan.

Peter Baumann, Andreas Dehmel, Paula Furtado, Roland Ritsch, Norbert Widmann: Spatio-Temporal Retrieval with RasDaMan. VLDB 1999: 746-749
@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}
}

Abstract

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.


Online Paper

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Printed Edition

Malcolm P. Atkinson, Maria E. Orlowska, Patrick Valduriez, Stanley B. Zdonik, Michael L. Brodie (Eds.): VLDB'99, Proceedings of 25th International Conference on Very Large Data Bases, September 7-10, 1999, Edinburgh, Scotland, UK. Morgan Kaufmann 1999, ISBN 1-55860-615-7
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