Demo Data from VLDB 2026 / reviewers in the wild / expert
Jonathan Breitman
dblp:416/0039
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Database theory · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › social choice › computational social choice › multiwinner voting
approval-based committee voting |
0.9 | 1 | 2025 | DVote: Constraining Committee Voting with Database Dependencies · Proc. VLDB Endow. 2025 |
Algorithmic game theory and mechanism design › social choice
committee voting |
0.9 | 1 | 2025 | DVote: Constraining Committee Voting with Database Dependencies · Proc. VLDB Endow. 2025 |
Algorithmic game theory and mechanism design › social choice
computational social choice |
0.9 | 1 | 2025 | DVote: Constraining Committee Voting with Database Dependencies · Proc. VLDB Endow. 2025 |
Database theory
data dependencies |
0.3 | 1 | 2025 | DVote: Constraining Committee Voting with Database Dependencies · Proc. VLDB Endow. 2025 |
Database theory › dependency theory
tuple-generating dependencies |
0.3 | 1 | 2025 | DVote: Constraining Committee Voting with Database Dependencies · Proc. VLDB Endow. 2025 |
Methods — techniques the papers use, named apart from their topics
mixed-integer programming · 0.9mixed integer programming · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | DVote: Constraining Committee Voting with Database DependenciesabstractApproval-Based Committee (ABC) voting refers to the task of selecting a committee of a desired size, given voter preferences that state the specific candidates that each voter approves of. A voting rule aggregates the voter preferences into a winning committee. As a special case, an ABC scoring rule determines a score that each voter contributes to the committee based on her approvals. Various ways have been proposed to impose constraints on the elected committee. The demonstration presents DVote— a tool that implements a recent framework for extending score-based ABC voting with constraints on the context surrounding the candidates, given as a relational database. DVote provides a convenient interface to set up a voting instance and build contextual constraints in the form of Tuple-Generating Dependencies (TGDs) and Denial Constraints (DCs). The computation of the winning committee is done by backend components that encapsulate the contextual database and translate the entire task of constrained election into Mixed Integer Programming. In the demonstration, attendees will experience ABC voting with DVote in different domains and contexts. Companion video available at https://www.youtube.com/watch?v=pgQBm8xRQuU. Roi Yona, Jonathan Breitman, Benny Kimelfeld |
Proc. VLDB Endow. | 2 |