Demo Data from EDBT 2026 / reviewers in the wild / expert
Young-Gook Ra
dblp:78/3884
· DBLP profile ↗
6ranked-venue papers
4as 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 · 4 · 3 first-authorArtificial intelligence and machine learning · 2 · 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.
| Databases, data mining, and information retrieval
3 papers |
Data models and query languages · 85% Database system architecture and tuning · 15% | |
| Software engineering, system software, and programming languages
2 papers |
Requirements engineering and software design · 54% Software maintenance and evolution · 46% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data models and query languages › schema management
schema evolution |
0.0 | 2 | 1997 | A Transparent Schema-Evolution System Based on Object-Oriented View Technology · IEEE Trans. Knowl. Data Eng. 1997 A Transparent Object-Oriented Schema Change Approach Using View Evolution · ICDE 1995 |
Data models and query languages › database views
object-oriented views |
0.0 | 1 | 1997 | A Transparent Schema-Evolution System Based on Object-Oriented View Technology · IEEE Trans. Knowl. Data Eng. 1997 |
Data models and query languages
object-oriented database |
0.0 | 1 | 1995 | A Transparent Object-Oriented Schema Change Approach Using View Evolution · ICDE 1995 |
Database system architecture and tuning › view management
view definition |
0.0 | 1 | 1995 | A Transparent Object-Oriented Schema Change Approach Using View Evolution · ICDE 1995 |
Requirements engineering and software design
software architecture |
0.0 | 1 | 1996 | The MultiView Project: Object-Oriented View Technology and Applications · SIGMOD Conference 1996 |
Methods — techniques the papers use, named apart from their topics
view evolution algorithms · 0.0view schema evolution · 0.0capacity augmenting views · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Boosting Naïve Bayes text classification using uncertainty-based selective sampling
Han-Joon Kim, Je-Uk Kim, Young-Gook Ra |
Neurocomputing | 3 |
| 2004 | Relational Schema Evolution for Program Independency
Young-Gook Ra |
CIT | 1 |
| 1997 | A Transparent Schema-Evolution System Based on Object-Oriented View TechnologyabstractWhen a database is shared by many users, updates to the database schema are almost always prohibited because there is a risk of making existing application programs obsolete when they run against the modified schema. The paper addresses the problem by integrating schema evolution with view facilities. When new requirements necessitate schema updates for a particular user, then the user specifies schema changes to his personal view, rather than to the shared base schema. Our view schema evolution approach then computes a new view schema that reflects the semantics of the desired schema change, and replaces the old view with the new one. We show that our system provides the means for schema change without affecting other views (and thus without affecting existing application programs). The persistent data is shared by different views of the schema, i.e., both old as well as newly developed applications can continue to interoperate. The paper describes a solution approach of realizing the evolution mechanism as a working system, which as its key feature requires the underlying object oriented view system to support capacity augmenting views. We present algorithms that implement the complete set of typical schema evolution operations as view definitions. Lastly, we describe the transparent schema evolution system (TSE) that we have built on top of GemStone, including our solution for supporting capacity augmenting view mechanisms. Young-Gook Ra, Elke A. Rundensteiner |
IEEE Trans. Knowl. Data Eng. | 1 |
| 1996 | The MultiView Project: Object-Oriented View Technology and ApplicationsabstractNo abstract available. Elke A. Rundensteiner, Harumi A. Kuno, Young-Gook Ra, Viviane Crestana-Taube, Matthew C. Jones, Pedro José Marrón |
SIGMOD Conference | 3 |
| 1995 | Towards Supporting Hard Schema Changes in TSEabstractSimulatingschema evoiution using views offers many advantages over the direct modification of the schema.However, this view approach towards transparent schema evolution has not yet been implemented.One reason for this may be that views can 't simulate capacity-augmenting schema changes due to the inherent limitation of view mechanisms that do not augment the underlying schema.One potential solution for this problem is to develop capac@- augmenhngview support.However, existing 00 view mechanisms do currently not support this capacityaugmenting feature.This paper thus proposes an alternative, more practical, solution to this problem.This solution is neither confined to object-preserving schema changes nor requires capacdy-augmentmg views.Note that our proposed solution is the first to aJso support hard changes such as converting values into an object, splitting two classes vertically, etc., in a transparent fashion.We demonstrate the feasibility of our solution by presenting general algorithms for hard schema changes as well as primitive ones. Young-Gook Ra, Elke A. Rundensteiner |
CIKM | 1 |
| 1995 | A Transparent Object-Oriented Schema Change Approach Using View EvolutionabstractWhen a database is shared by many users, updates to the database schema are almost always prohibited because there is a risk of making existing application programs obsolete when they run against the modified schema. This paper addresses the problem by integrating schema evolution with view facilities. When new requirements necessitate schema updates for a particular user, the user specifies schema changes to the personal view rather than to the shared base schema. Our view evolution approach then computes a new view schema that reflects the semantics of the desired schema change, and replaces the old view with the new one. We present algorithms that implement the set of schema evolution operations typically supported by OODB systems as view definitions. This approach provides the means for schema change without affecting other views (and thus without affecting existing application programs). The persistent data is shared by different views of the schema, i.e., both old as well as newly developed applications can continue to interoperate. In this paper, we present examples that demonstrate our approach.> Young-Gook Ra, Elke A. Rundensteiner |
ICDE | 1 |