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: h92f703f1d160861d
Venue: SIGMOD
Year: 1990
Pagerank: 8.314897e-05
Overall Rank: 2,548 | 82.88%
DOI: 10.1145/93597.98727

Incoming Non-self Citations Over Time

Authors

1. Amihai Motro (University of Southern California)
2. Qiuhui Yuan (University of Southern California)

BibTeX Citation

@inproceedings{motro_sigmod90,
        title = {{Querying Database Knowledge}},
        author = {Motro, Amihai and Yuan, Qiuhui},
        series = {{SIGMOD} '90},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/93597.98727},
        url = {https://dl.acm.org/doi/10.1145/93597.98727},
        year = {1990}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
359	Knowledge Discovery in Databases: An Attribute-Oriented Approach	1992	VLDB	0.00020013291

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
2,496	An Information-Theoretic Study on Aggregate Responses	1988	VLDB	8.3865492e-05
9,601	Using Integrity Constraints to Provide Intensional Answers to Relational Queries	1989	VLDB	5.1544037e-05

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