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Hyung Joon Kook

dblp:00/4972 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
model representation
0.011991
Representation of Models for Expert Problem Solving in Physics · IEEE Trans. Knowl. Data Eng. 1991
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology
0.011991
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
0.011991
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
0.011991
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
0.011991
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
YearPublicationVenuePosition
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 Physics
abstract
A 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