John H. Boose · VLDB 2026 Research

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

Human-computer interaction and ubiquitous computing · 10 · 5 first-authorArtificial intelligence and machine learning · 5 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author

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 9 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 4 papers		Usability and user experience research · 64% Human-AI interaction · 15% User interface design and tools · 13%

Topics — the 7 heaviest of 12, 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	0.1	8	1999	Expertise transfer and complex problems: using AQUINAS as a knowledge-acquisition workbench for knowledge-based systems · Int. J. Hum. Comput. Stud. 1999 Decision Analysis Techniques for Knowledge Acquisition: Combining Information and Preferences Using Aquinas and Axotl · Int. J. Man Mach. Stud. 1990 Selecting Knowledge Acquisition Tools and Strategies Based on Application Characteristics · Int. J. Man Mach. Stud. 1989
Knowledge, reasoning and agents › Knowledge representation and reasoning expert systems	0.0	4	1999	Expertise transfer and complex problems: using AQUINAS as a knowledge-acquisition workbench for knowledge-based systems · Int. J. Hum. Comput. Stud. 1999 Uses of Repertory Grid-Centred Knowledge Acquisition Tools for Knowledge-Based Systems · Int. J. Man Mach. Stud. 1988 Expertise Transfer and Complex Problems: Using AQUINAS as a Knowledge-Acquisition Workbench for Knowledge-Based Systems · Int. J. Man Mach. Stud. 1987
Requirements engineering and software design design rationale	0.0	1	1991	Design Rationale Capture as Knowledge Acquisition · ML 1991
Requirements engineering and software design › knowledge management knowledge acquisition	0.0	1	1991	Design Rationale Capture as Knowledge Acquisition · ML 1991
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition expertise transfer	0.0	2	1987	Heuristics for Expertise Transfer: An Implementation of a Dialog Manager for Knowledge Acquisition · Int. J. Man Mach. Stud. 1987 Personal Construct Theory and the Transfer of Human Expertise · AAAI 1984
Knowledge, reasoning and agents › Knowledge representation and reasoning decision theory	0.0	1	1990	Decision Analysis Techniques for Knowledge Acquisition: Combining Information and Preferences Using Aquinas and Axotl · Int. J. Man Mach. Stud. 1990
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition knowledge-acquisition tools	0.0	1	1989	Selecting Knowledge Acquisition Tools and Strategies Based on Application Characteristics · Int. J. Man Mach. Stud. 1989

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

repertory grid · 0.0consultation · 0.0heuristics · 0.0personal construct techniques · 0.0personal construct theory · 0.0personal construct psychology · 0.0

Year	Publication	Venue	Position
1999	Expertise transfer and complex problems: using AQUINAS as a knowledge-acquisition workbench for knowledge-based systems John H. Boose, Jeffrey M. Bradshaw	Int. J. Hum. Comput. Stud.	1
1991	Design Rationale Capture as Knowledge Acquisition Thomas R. Gruber, Catherine Baudin, John H. Boose, Jay Webber	ML	3
1990	Decision Analysis Techniques for Knowledge Acquisition: Combining Information and Preferences Using Aquinas and Axotl Jeffrey M. Bradshaw, John H. Boose	Int. J. Man Mach. Stud.	2
1990	Using Personal Construct Techniques for Collaborative Evaluation Doug Schuler, Peter Russo, John H. Boose, Jeffrey M. Bradshaw	Int. J. Man Mach. Stud.	3
1989	Knowledge Acquisition Techniques for Intelligent Decision Systems: Integrating Axotl and Aquinas in DDUCKS Jeffrey M. Bradshaw, Stanley P. Covington, Peter Russo, John H. Boose	UAI	4
1989	Selecting Knowledge Acquisition Tools and Strategies Based on Application Characteristics Catherine M. Kitto, John H. Boose	Int. J. Man Mach. Stud.	2
1989	Knowledge Acquisition for Knowledge-Based Systems: Notes on the State-of-the-Art John H. Boose, Brian R. Gaines	Mach. Learn.	1
1988	Uses of Repertory Grid-Centred Knowledge Acquisition Tools for Knowledge-Based Systems John H. Boose	Int. J. Man Mach. Stud.	1
1988	Refining Problem-Solving Knowledge in Repertory Grids Using a Consultation Mechanism David B. Shema, John H. Boose	Int. J. Man Mach. Stud.	2
1987	Expertise Transfer and Complex Problems: Using AQUINAS as a Knowledge-Acquisition Workbench for Knowledge-Based Systems John H. Boose, Jeffrey M. Bradshaw	Int. J. Man Mach. Stud.	1
1987	Editorial: Knowledge Acquisition John H. Boose, Brian R. Gaines	Int. J. Man Mach. Stud.	1
1987	Heuristics for Expertise Transfer: An Implementation of a Dialog Manager for Knowledge Acquisition Catherine M. Kitto, John H. Boose	Int. J. Man Mach. Stud.	2
1985	A Knowledge Acquisition Program for Expert Systems Based on Personal Construct Psychology John H. Boose	Int. J. Man Mach. Stud.	1
1984	Personal Construct Theory and the Transfer of Human Expertise John H. Boose	AAAI	1
1984	Personal Construct Theory and the Transfer of Human Expertise John H. Boose	ECAI	1