Demo Data from EDBT 2026 / reviewers in the wild / expert
Ramón Otero
dblp:133/1804
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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.
| Theoretical computer science
1 paper |
Logic in computer science · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Logic in computer science › logic programming
answer set programming |
0.2 | 1 | 2013 | Domain-Specific Heuristics in Answer Set Programming · AAAI 2013 |
Logic in computer science › nonmonotonic reasoning
answer set solving |
0.2 | 1 | 2013 | Domain-Specific Heuristics in Answer Set Programming · AAAI 2013 |
Methods — techniques the papers use, named apart from their topics
declarative heuristic specification · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Domain-Specific Heuristics in Answer Set ProgrammingabstractWe introduce a general declarative framework for incorporating domain-specific heuristics into ASP solving. We accomplish this by extending the first-order modeling language of ASP by a distinguished heuristic predicate. The resulting heuristic information is processed as an equitable part of the logic program and subsequently exploited by the solver when it comes to non-deterministically assigning a truth value to an atom. We implemented our approach as a dedicated heuristic in the ASP solver clasp and show its great prospect by an empirical evaluation. Martin Gebser, Benjamin Kaufmann, Javier Romero 0003, Ramón Otero, Torsten Schaub, Philipp Wanko |
AAAI | 4 |