Demo Data from EDBT 2026 / reviewers in the wild / expert
Gary S. Kahn
dblp:54/1748
· DBLP profile ↗
9ranked-venue papers
6as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 7 · 5 first-authorGraphics, computer vision, multimedia, augmented reality and games · 5 · 4 first-authorHuman-computer interaction and ubiquitous computing · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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
6 papers |
Knowledge representation and reasoning · 100% | |
| Software engineering, system software, and programming languages
2 papers |
Requirements engineering and software design · 100% | |
| Human-computer interaction and pervasive computing
2 papers |
User interface design and tools · 50% Human-AI interaction · 50% |
Topics — the 8 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge acquisition |
0.0 | 4 | 1987 | A Mixed-Initiative Workbench for Knowledge Acquisition · Int. J. Man Mach. Stud. 1987 From Application Shell to Knowledge Acquisition System · IJCAI 1987 Strategies for Knowledge Acquisition · IEEE Trans. Pattern Anal. Mach. Intell. 1985 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge base
knowledge base verification |
0.0 | 1 | 1990 | A Methodology for Validating Large Knowledge Bases · Int. J. Man Mach. Stud. 1990 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › diagnosis
diagnostic reasoning |
0.0 | 1 | 1987 | Repair Strategies in a Diagnostic Expert System · IJCAI 1987 |
Requirements engineering and software design
model-driven engineering |
0.0 | 1 | 1987 | TEST: A Model-driven Application Shell · AAAI 1987 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition
automatic knowledge acquisition |
0.0 | 1 | 1985 | Strategies for Knowledge Acquisition · IEEE Trans. Pattern Anal. Mach. Intell. 1985 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition
knowledge-acquisition tools |
0.0 | 1 | 1985 | MORE: An Intelligent Knowledge Acquisition Tool · IJCAI 1985 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › rule learning
rule generation |
0.0 | 1 | 1985 | Strategies for Knowledge Acquisition · IEEE Trans. Pattern Anal. Mach. Intell. 1985 |
Human-AI interaction
mixed-initiative interaction |
0.0 | 1 | 1987 | A Mixed-Initiative Workbench for Knowledge Acquisition · Int. J. Man Mach. Stud. 1987 |
Methods — techniques the papers use, named apart from their topics
knowledge elicitation · 0.0interviewing techniques · 0.0domain knowledge representation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Making Sense of Gigabytes: A System for Knowledge-Based Market Analysis
Tej Anand, Gary S. Kahn |
IAAI | 2 |
| 1990 | A Methodology for Validating Large Knowledge Bases
Rajiv Enand, Gary S. Kahn, Robert A. Mills |
Int. J. Man Mach. Stud. | 2 |
| 1987 | TEST: A Model-driven Application Shell
Gary S. Kahn, Al Kepner, Jeff Pepper |
AAAI | 1 |
| 1987 | From Application Shell to Knowledge Acquisition System
Gary S. Kahn |
IJCAI | 1 |
| 1987 | Repair Strategies in a Diagnostic Expert System
Jeff Pepper, Gary S. Kahn |
IJCAI | 2 |
| 1987 | A Mixed-Initiative Workbench for Knowledge Acquisition
Gary S. Kahn, Edwin H. Breaux, Peter DeKlerk, Robert L. Joseph |
Int. J. Man Mach. Stud. | 1 |
| 1985 | MORE: An Intelligent Knowledge Acquisition Tool
Gary S. Kahn, Steven J. Nowlan, John P. McDermott |
IJCAI | 1 |
| 1985 | Strategies for Knowledge AcquisitionabstractThis paper describes knowledge acquisition strategies developed in the course of handcrafting a diagnostic system and reports on their consequent implementation in MORE, an automated knowledge acquisition system. We describe MORE in some detail, focusing on its representation of domain knowledge, rule generation capabilities, and interviewing techniques. MORE's approach is shown to embody methods which may prove fruitful to the development of knowledge acquisition systems in other domains. Gary S. Kahn, Steven J. Nowlan, John P. McDermott |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |
| 1984 | On When Diagnostic Systems Want to Do without Causal Knowledge
Gary S. Kahn |
ECAI | 1 |