Querying Database Knowledge

Summary: Argues that substantial database knowledge warrants querying, unifying data and knowledge under a single access instrument. Proposes a knowledge-rich DB framework and a two-statement language (retrieve-data, describe-knowledge) with algorithms for sound, finite describe answers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2483
Venue: SIGMOD
Year: 1990
Pagerank: 0.00024892227
Overall Rank: 381 | 97.36%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Amihai Motro
2. Qiuhui Yuan

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
146	Knowledge Discovery in Databases: An Attribute-Oriented Approach	1992	VLDB	0.00041260875

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
554	An Information-Theoretic Study on Aggregate Responses	1988	VLDB	0.00020238415
9,185	Using Integrity Constraints to Provide Intensional Answers to Relational Queries	1989	VLDB	4.3771771e-05

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