Demo Data from SIGIR 2026 / reviewers in the wild / expert
Michael W. Boldt
dblp:183/0896
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—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.
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 67% Efficient and distributed learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
belief revision |
0.2 | 1 | 2016 | Maintaining Evolving Domain Models · IJCAI 2016 |
Machine learning › Efficient and distributed learning
model maintenance |
0.2 | 1 | 2016 | Maintaining Evolving Domain Models · IJCAI 2016 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology
ontology evolution |
0.2 | 1 | 2016 | Maintaining Evolving Domain Models · IJCAI 2016 |
Methods — techniques the papers use, named apart from their topics
truth maintenance · 0.2belief revision · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Maintaining Evolving Domain Models
Daniel Bryce, J. Benton 0001, Michael W. Boldt |
IJCAI | 3 |