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Evaluating Top-k Queries with Inconsistency Degrees

Summary: Proposes inconsistency-aware top-k evaluation under denial constraints, with two inconsistency measures (single/multi) quantified by why-provenance and provenance polynomials. Presents a top-k algorithm for monotone/non-monotone scoring, with gains over full ranking. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12105
Venue
VLDB
Year
2020
Pagerank
4.5761263e-05
Overall Rank
8,145 | 43.34%
DOI
10.14778/3407790.3407815

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
6,477 Fast Algorithms for Denial Constraint Discovery 2023 VLDB 5.0488285e-05
7,667 Fast Detection of Denial Constraint Violations 2022 VLDB 4.683767e-05
10,546 Evaluating Continuous Queries with Inconsistency Annotations 2025 VLDB 4.1945683e-05
11,462 INCA: Inconsistency-Aware Data Profiling and Querying 2021 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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