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Spatio-Temporal Retrieval with RasDaMan

Summary: RasDaMan is a domain-independent array DBMS with server-based optimization for spatio-temporal data. Demonstrates spatio-temporal retrieval via rView on 1D time series, 2D images, and 3D/4D voxels using real-life life-science, geoscience, climate data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h64ec31ef871cb519
Venue
VLDB
Year
1999
Pagerank
6.5077908e-05
Overall Rank
4,599 | 69.08%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{baumann_vldb99,
        title = {{Spatio-Temporal Retrieval with RasDaMan}},
        author = {Baumann, Peter and Dehmel, Andreas and Furtado, Paula and Ritsch, Roland and Widmann, Norbert},
        journal = {PVLDB},
        series = {{VLDB} '99},
        year = {1999}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,044 RIOT: I/O-Efficient Numerical Computing without SQL 2009 CIDR 0.00012332595
4,790 ChronosDB: Distributed, File Based, Geospatial Array DBMS 2018 VLDB 6.4134808e-05
6,461 The Era of Big Spatial Data 2017 VLDB 5.7768622e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
741 The Multidimensional Database System RasDaMan 1998 SIGMOD 0.00014322786
2,389 A Language for Manipulating Arrays 1997 VLDB 8.5369572e-05
7,480 Geo/Environmental and Medical Data Management in the RasDaMan System 1997 VLDB 5.5135285e-05
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