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Demo Data from EDBT 2026 / reviewers in the wild / expert

Greg A. Keim

dblp:39/917 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3

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
2 papers
Planning, search and constraint satisfaction · 57% Information extraction and text analysis · 33% Machine translation · 10%

Topics — the 1 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › constraint satisfaction
crossword puzzle solving		 0.012002
A probabilistic approach to solving crossword puzzles · Artif. Intell. 2002

Methods — techniques the papers use, named apart from their topics

probabilistic inference · 0.0constraint satisfaction · 0.0word alignment · 0.0bilingual lexicon induction · 0.0
YearPublicationVenuePosition
2002 A probabilistic approach to solving crossword puzzles
Michael L. Littman, Greg A. Keim, Noam Shazeer
 Artif. Intell.2
1998 Learning a Language-Independent Representation for Terms from a Partially Aligned Corpus
Michael L. Littman, Greg A. Keim
 ICML3
1997 Goal-Oriented Multimedia Dialogue with Variable Initiative
Alan W. Biermann, Curry I. Guinn, Michael S. Fulkerson, Greg A. Keim, Douglas M. Melamed, Krishnan Rajagopalan
 ISMIS4