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Data Management for Large Rule Systems

Summary: Selective materialization of rule-generated data enables incremental rule-based decisions in large rule systems; an algorithm selects which derived relations to materialize to minimize cost under latency. Addresses rule-awakening (fast rule identification on updates) and rule-execution (efficient join-aware processing) for DBMS extensions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8017
Venue
VLDB
Year
1991
Pagerank
4.6429128e-05
Overall Rank
7,802 | 45.78%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
5,627 An Adaptive Algorithm for Incremental Evaluation of Production Rules in Databases 1993 VLDB 5.403244e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
55 Efficiently Updating Materialized Views 1986 SIGMOD 0.00065687017
658 A Performance Analysis of View Materialization Strategies 1987 SIGMOD 0.00018566555
1,206 Deriving Production Rules for Constraint Maintenance 1990 VLDB 0.00013297347
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