Demo Data from EDBT 2026 / reviewers in the wild / expert
Georg Heissenberger
dblp:185/7600
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 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 · 67% Automated reasoning and model checking · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Automated reasoning and model checking › argumentation
abstract argumentation |
0.3 | 1 | 2017 | Solving Advanced Argumentation Problems with Answer-Set Programming · AAAI 2017 |
Logic in computer science › nonmonotonic reasoning › formal argumentation
abstract dialectical frameworks |
0.3 | 1 | 2017 | Solving Advanced Argumentation Problems with Answer-Set Programming · AAAI 2017 |
Logic in computer science › logic programming
answer set programming |
0.3 | 1 | 2017 | Solving Advanced Argumentation Problems with Answer-Set Programming · AAAI 2017 |
Methods — techniques the papers use, named apart from their topics
logic programming · 0.3answer set programming · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Solving Advanced Argumentation Problems with Answer Set ProgrammingabstractAbstract Powerful formalisms for abstract argumentation have been proposed, among them abstract dialectical frameworks (ADFs) that allow for a succinct and flexible specification of the relationship between arguments and the GRAPPA framework which allows argumentation scenarios to be represented as arbitrary edge-labeled graphs. The complexity of ADFs and GRAPPA is located beyond NP and ranges up to the third level of the polynomial hierarchy. The combined complexity of Answer Set Programming (ASP) exactly matches this complexity when programs are restricted to predicates of bounded arity. In this paper, we exploit this coincidence and present novel efficient translations from ADFs and GRAPPA to ASP. More specifically, we provide reductions for the five main ADF semantics of admissible, complete, preferred, grounded, and stable interpretations, and exemplify how these reductions need to be adapted for GRAPPA for the admissible, complete, and preferred semantics. Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran |
Theory Pract. Log. Program. | 3 |
| 2017 | Solving Advanced Argumentation Problems with Answer-Set ProgrammingabstractPowerful formalisms for abstract argumentation have been proposed. Their complexity is often located beyond NP and ranges up to the third level of the polynomial hierarchy. The combined complexity of Answer-Set Programming (ASP) exactly matches this complexity when programs are restricted to predicates of bounded arity. In this paper, we exploit this coincidence and present novel efficient translations from abstract dialectical frameworks (ADFs) and GRAPPA to ASP.We also empirically compare our approach to other systems for ADF reasoning and report promising results. Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran |
AAAI | 3 |
| 2016 | GrappaVis - A System for Advanced Graph-Based ArgumentationabstractWe present a new system for specifying and evaluating frameworks in the recently proposed argumentation formalism of GRAPPA. Georg Heissenberger, Stefan Woltran |
COMMA | 1 |