Christopher M. Tuck

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

dblp:06/6515 · DBLP profile ↗

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1ranked-venue papers

0as first author

0since 2021 · last 1990

—ORCID · none

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

Artificial intelligence and machine learning · 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 · 100%
Databases, data mining, and information retrieval 1 paper		Machine learning and data management · 100%

Topics — the 2 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 knowledge base	0.0	1	1990	Correcting and Extending Domain Knowledge using Outside Guidance · ML 1990
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition knowledge base enrichment	0.0	1	1990	Correcting and Extending Domain Knowledge using Outside Guidance · ML 1990

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

outside guidance · 0.0

Year	Publication	Venue	Position
1990	Correcting and Extending Domain Knowledge using Outside Guidance John E. Laird, Michael Hucka, Eric S. Yager, Christopher M. Tuck	ML	4