Demo Data from VLDB 2026 / reviewers in the wild / expert
Hyung Joon Kook
dblp:00/4972
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 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
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
model representation |
0.0 | 1 | 1991 | Representation of Models for Expert Problem Solving in Physics · IEEE Trans. Knowl. Data Eng. 1991 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology |
0.0 | 1 | 1991 | Representation of Models for Expert Problem Solving in Physics · IEEE Trans. Knowl. Data Eng. 1991 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › commonsense reasoning › physical reasoning
physics problem solving |
0.0 | 1 | 1991 | Representation of Models for Expert Problem Solving in Physics · IEEE Trans. Knowl. Data Eng. 1991 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
qualitative reasoning |
0.0 | 1 | 1991 | Representation of Models for Expert Problem Solving in Physics · IEEE Trans. Knowl. Data Eng. 1991 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
expert systems |
0.0 | 1 | 1991 | Representation of Models for Expert Problem Solving in Physics · IEEE Trans. Knowl. Data Eng. 1991 |
Methods — techniques the papers use, named apart from their topics
view framework · 0.0data connection network · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Profiling Multiple Domains of User Interests and Using Them for Personalized Web Support
Hyung Joon Kook |
ICIC (2) | 1 |
| 1991 | Representation of Models for Expert Problem Solving in PhysicsabstractA computer program, APEX, is proposed to investigate idealized formal models representing physics problems. Two types of models are defined: canonical physical objects and physical models. During problem solving, the problem is represented as a data connection network, which is progressively augmented by these models in the form of additional network elements. APEX employs views as a representational framework for connecting the initially informal objects to the formal models of the domain. The view framework supports multiple representations (e.g., viewing many objects as a single canonical physical object), handling of incompletely specified problems, and invertibility of the views. This computational framework provides a powerful representational mechanism that allows a finite set of physical principles to be applied to a potentially infinite variety of problems. As a knowledge engineering technique, views allow general principles to be applied to a variety of objects whose representations differ.> Hyung Joon Kook, Gordon S. Novak |
IEEE Trans. Knowl. Data Eng. | 1 |