An Information-Theoretic Study on Aggregate Responses

Summary: An information-theoretic framework for aggregate responses over quantified concepts, balancing conciseness (expression length) and preciseness (entropy). One-level taxonomies admit efficient optimal expressions; for broader taxonomies, heuristics achieve strong solutions with good empirical results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h379c5f9b3d73fb53
Venue: VLDB
Year: 1988
Pagerank: 8.3865492e-05
Overall Rank: 2,496 | 83.22%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Chung-Dak Shum (University of California Los Angeles)
2. Richard Muntz (University of California Los Angeles)

BibTeX Citation

@article{shum_vldb88,
        title = {{An Information-Theoretic Study on Aggregate Responses}},
        author = {Shum, Chung-Dak and Muntz, Richard},
        journal = {PVLDB},
        series = {{VLDB} '88},
        year = {1988}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
967	Recovering Information from Summary Data	1997	VLDB	0.00012794553
2,548	Querying Database Knowledge	1990	SIGMOD	8.314897e-05
6,799	A Multi-Resolution Relational Data Model	1992	VLDB	5.6796812e-05
7,104	Data Vocalization with CiceroDB	2019	CIDR	5.601767e-05
9,601	Using Integrity Constraints to Provide Intensional Answers to Relational Queries	1989	VLDB	5.1544037e-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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