Performing Inferences Over Relation Data Bases

Summary: Introduces an algorithm to answer questions whose answers are implicit in relation data by inferring from relations. Uses AI-style inference (state-space, problem-reduction) and outlines a scalable, explainable relational system for large databases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2010
Venue: SIGMOD
Year: 1975
Pagerank: 5.2365238e-05
Overall Rank: 6,043 | 58.01%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Jack Minker

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
13,092	Nonprocedural Query Processing For Databases With Access Paths	1978	SIGMOD	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

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6,074	Solving Implication Problems in Database Applications	1989	SIGMOD	5.2211593e-05
2,715	Query Processing in Deductive Databases with Incomplete Information	1986	SIGMOD	8.2411079e-05
9,185	Using Integrity Constraints to Provide Intensional Answers to Relational Queries	1989	VLDB	4.3771771e-05
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8,958	Understanding Queries by Conditional Instances	2022	SIGMOD	4.417947e-05
2,256	An Enhanced Inference Mechanism for Generating Relational Algebra Queries	1984	PODS	9.1815561e-05
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