A 20/20 Vision Of The Vldb-2020?
Summary: A speculative 2020 vision revisiting the 1986 VLDB panel’s predictions across Web data, applications, hardware, quality, security, semantics, and interoperability. Highlights both anticipated breakthroughs and missed expectations, notably limited AI–database convergence. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. S. M. Deen (University of Keele)
- 2. Sham Navathe (Georgia Institute of Technology)
- 3. Anant Jhingran (IBM)
- 4. Erich J. Neuhold (Gesellschaft für Mathematik und Datenverarbeitung)
- 5. Gio Wiederhold (Stanford University)
BibTeX Citation
@article{deen_vldb00,
title = {{A 20/20 VISION OF THE VLDB-2020?}},
author = {Deen, S. M. and Navathe, Sham and Jhingran, Anant and Neuhold, Erich J. and Wiederhold, Gio},
journal = {PVLDB},
series = {{VLDB} '00},
pages = {655},
year = {2000}
}
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