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On Genericity and Parametricity

Summary: Develops a systematic taxonomy of genericity/parametricity for modern data models (multiple domains, interpreted functions/predicates, user-defined and bulk types), linking invariance under renaming to data-structure properties. Uses these genericity classes to derive inexpressibility results and to characterize the impact of interpreted symbols and mappings that may not preserve equality on query expressiveness. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1081
Venue
PODS
Year
1996
Pagerank
4.1945683e-05
Overall Rank
12,780 | 11.10%
DOI
-

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