Demo Data from EDBT 2026 / reviewers in the wild / expert
Davide M. Longo
dblp:230/4402 · also Davide Mario Longo
· DBLP profile ↗
4ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0003-4018-4994ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 2 since 2021Artificial intelligence and machine learning · 1
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.
| Databases, data mining, and information retrieval
1 paper |
Database theory · 76% Information retrieval · 24% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database theory
conjunctive query evaluation |
0.4 | 1 | 2019 | HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings · PODS 2019 |
Database theory
constraint satisfaction |
0.4 | 1 | 2019 | HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings · PODS 2019 |
Database theory
hypergraph decomposition |
0.4 | 1 | 2019 | HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings · PODS 2019 |
Database theory › hypertree decomposition
hypertree width |
0.4 | 1 | 2019 | HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings · PODS 2019 |
Information retrieval
query processing |
0.4 | 1 | 2019 | HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings · PODS 2019 |
Information retrieval › evaluation
benchmark |
0.1 | 1 | 2019 | HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings · PODS 2019 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Selective Use of Yannakakis' Algorithm for Consistent Performance Gains
Daniela Böhm, Georg Gottlob, Matthias Lanzinger, Davide M. Longo, Cem Okulmus, Reinhard Pichler, Alexander Selzer |
DOLAP | 4 |
| 2026 | GaV: Guess and Verification of Column Semantics
Davide Di Stefano, Jinsong Guo, Matteo Capalbo, Davide M. Longo, Georg Gottlob |
ICDE | 5 |
| 2020 | The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions
Georg Gottlob, Matthias Lanzinger, Davide M. Longo, Cem Okulmus, Reinhard Pichler |
CPAIOR | 3 |
| 2019 | HyperBench: A Benchmark and Tool for Hypergraphs and Empirical FindingsabstractTo cope with the intractability of answering Conjunctive Queries (CQs) and solving Constraint Satisfaction Problems (CSPs), several notions of hypergraph decompositions have been proposed - giving rise to different notions of width, noticeably, plain, generalized, and fractional hypertree width (hw, ghw, and fhw). Given the increasing interest in using such decomposition methods in practice, a publicly accessible repository of decomposition software, as well as a large set of benchmarks, and a web-accessible workbench for inserting, analysing, and retrieving hypergraphs are called for. We address this need by providing (i) concrete implementations of hypergraph decompositions (including new practical algorithms), (ii) a new, comprehensive benchmark of hypergraphs stemming from disparate CQ and CSP collections, and (iii) HyperBench, our new web-interface for accessing the benchmark and the results of our analyses. In addition, we describe a number of actual experiments we carried out with this new infrastructure. Wolfgang Fischl, Georg Gottlob, Davide M. Longo, Reinhard Pichler |
PODS | 3 |