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Modelling Information Preserving Databases: Consequences of the Concept of Time

Summary: Time as history: information-preserving databases map the temporal domain to values, not only current state. Uncertainty-based framework to infer unstored past states; extends ER models and updates semantics with procedural rules, illustrated. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7625
Venue
VLDB
Year
1983
Pagerank
0.00010951944
Overall Rank
1,671 | 88.38%
DOI
-

Incoming Non-self Citations Over Time

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Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
348 The Semantic Data Model: A Modelling Mechanism for Data Base Applications 1978 SIGMOD 0.00026443996
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