Demo Data from EDBT 2026 / reviewers in the wild / expert
Jonas Vistrup
dblp:358/3293
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0001-7704-3656ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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 |
Automated reasoning and model checking · 100% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
logic programming |
0.9 | 1 | 2025 | An Expert System for Danish Traffic Law Cases (Student Abstract) · AAAI 2025 |
Automated reasoning and model checking
explanation generation |
0.9 | 1 | 2025 | An Expert System for Danish Traffic Law Cases (Student Abstract) · AAAI 2025 |
Automated reasoning and model checking › theorem proving › resolution theorem proving
SLD-resolution |
0.9 | 1 | 2025 | An Expert System for Danish Traffic Law Cases (Student Abstract) · AAAI 2025 |
Computational social science and digital humanities
legal informatics |
0.3 | 1 | 2025 | An Expert System for Danish Traffic Law Cases (Student Abstract) · AAAI 2025 |
Methods — techniques the papers use, named apart from their topics
datalog · 2.6SLD-resolution · 2.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | An Expert System for Danish Traffic Law Cases (Student Abstract)abstractWe present FÆRDXEL, an expert system for providing answers and explanations to legal questions (queries) regarding Danish traffic law cases. It utilizes a Datalog encoding of Danish traffic laws and uses SLD-resolution to answer queries. The SLD-resolution’s trace of operations can be converted into a legal explanation for the query. A user interface allows legal professionals to input case facts, ask questions, and explore explanations. Feedback from legal experts identified usability challenges and potential end-users, including traffic police and judges. Future steps include empirical evaluation of soundness, integrating punishment reasoning, and enhancing usability through natural language processing. Jonas Vistrup |
AAAI | 1 |