Spatio-Temporal Retrieval with RasDaMan
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Peter Baumann,
Andreas Dehmel,
Paula Furtado,
Roland Ritsch, and
Norbert Widmann
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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.
Note: References link to DBLP on the Web.
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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 = {1-55860-615-5},
pages = {746-749},
crossref = {DBLP:conf/vldb/99},
bibsource = {DBLP, http://dblp.uni-trier.de} } },
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