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Manipulating Interpolated Data is Easier than You Thought

Summary: Interpolation-defined data modeled as infinite relations (e.g., map elevation) manipulable by SQL without exposing samples or interpolation functions. Logical-physical separation and efficient physical-level algorithms yield accurate, scalable query evaluation that materializes required samples and interpolants. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8643
Venue
VLDB
Year
2000
Pagerank
7.7991574e-05
Overall Rank
2,967 | 79.37%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
469 MauveDB: Supporting Model-based User Views in Database Systems 2006 SIGMOD 0.00022406923
1,569 Querying Continuous Functions in a Database System 2008 SIGMOD 0.0001132337
12,637 An Interpolated Volume Data Model 2003 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

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

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