Handling Summary Information In A Database: Derivability

Summary: Defines a schema of summary data as a relation between object classifications and attribute domains; introduces reclassification rules as semantic links. Employs set-theoretic lemmata as an inference mechanism to test derivability and derive summaries, improving usability and logical data independence (statistical examples). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h13e0a7aad93e5254
Venue: SIGMOD
Year: 1981
Pagerank: 6.2241856e-05
Overall Rank: 5,216 | 64.94%
DOI: 10.1145/582318.582334

Incoming Non-self Citations Over Time

Authors

1. Hideto Sato (Institute of Socio-Economic Planning; University of Tsukuba)

BibTeX Citation

@inproceedings{sato_sigmod81,
        title = {{HANDLING SUMMARY INFORMATION IN A DATABASE: DERIVABILITY}},
        author = {Sato, Hideto},
        series = {{SIGMOD} '81},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/582318.582334},
        url = {https://dl.acm.org/doi/10.1145/582318.582334},
        year = {1981}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
13,432	Aggregate Evaluability in Statistical Databases	1989	VLDB	4.9793485e-05
13,443	The derivation problem for summary data	1988	SIGMOD	4.9793485e-05

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
10	Extending the Data Base Relational Model to Capture More Meaning	1979	SIGMOD	0.00075944947
6,519	IAM:: An Inferential Abstract Modeling Approach to Design of Conceptual Schema	1977	SIGMOD	5.7573717e-05

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10	13,443	The derivation problem for summary data	1988	SIGMOD