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Qualified Answers That Reflect User Needs and Preferences

Summary: Formalizes user needs and preferences via a lattice of domain-independent values with domain-specific constraints, automatically embedded into relational and deductive databases as annotated. Query answering operates on the annotated database, producing answers at multiple preference levels; preferences can be changed without editing data, enabling scalable handling of large DNA data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8202
Venue
VLDB
Year
1994
Pagerank
5.9695016e-05
Overall Rank
4,726 | 67.13%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
707 Foundations of Preferences in Database Systems 2002 VLDB 0.00017782998
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,166 Unfounded Sets and Well-Founded Semantics for General Logic Programs 1988 PODS 0.00013554968
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8,541 Querying Probabilistic Preferences in Databases 2017 PODS 4.4937074e-05
1,605 Addressing Diverse User Preferences in SQL-Query-Result Navigation 2007 SIGMOD 0.00011186762
380 Querying Database Knowledge 1990 SIGMOD 0.00024933189
12,123 PrefDB: Bringing Preferences Closer to the DBMS 2012 SIGMOD 4.1945683e-05
11,503 Preference Queries over Taxonomic Domains 2021 VLDB 4.1945683e-05
707 Foundations of Preferences in Database Systems 2002 VLDB 0.00017782998
4,515 Preferences: Putting More Knowledge into Queries 1987 VLDB 6.1192913e-05