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Query Evaluation in Election Databases

Summary: Complexity-theoretic study of query evaluation over election databases combining voters' partial orders with relational context, using possible/necessary answer semantics for unions of conjunctive queries under positional scoring rules. Delineates tractability/intractability for various scoring rules and UCQ classes, and proves fixed-parameter tractability parameterized by number of candidates. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1754
Venue
PODS
Year
2019
Pagerank
4.1945683e-05
Overall Rank
11,643 | 19.01%
DOI
-

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Rank Citing Paper Year Venue Pagerank
13,126 DVote: Constraining Committee Voting with Database Dependencies 2025 VLDB -
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
74 Efficient Query Evaluation on Probabilistic Databases 2004 VLDB 0.00057857292
4,803 A System for Management and Analysis of Preference Data 2014 VLDB 5.9107061e-05
8,538 A Query Engine for Probabilistic Preferences 2018 SIGMOD 4.4937074e-05
8,541 Querying Probabilistic Preferences in Databases 2017 PODS 4.4937074e-05
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