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The GMAP: A Versatile Tool for Physical Data Independence
Summary: Eliminates physical-data dependence by modeling storage with a declarative relational-algebra language over a logical schema. An integrated optimizer translates queries and updates into plans over these storage structures, with experiments showing workload-tuned storage outperforms conventional approaches.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h036c881fbf68be63
Venue
VLDB
Year
1994
Pagerank
0.00016069665
Overall Rank
579 | 96.13%
DOI
-
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@article{tsatalas_vldb94,
title = {{The GMAP: A Versatile Tool for Physical Data Independence}},
author = {Tsatalas, Odysseas G. and Solomon, Marvin H. and Ioannidis, Yannis E.},
journal = {PVLDB},
series = {{VLDB} '94},
pages = {367},
year = {1994}
}
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