Demo Data from VLDB 2026 / reviewers in the wild / expert
J. Gonzalez-Sustaeta
dblp:82/3577
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1986
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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
1 paper |
Database system architecture and tuning · 44% Data models and query languages · 44% Data integration and cleaning · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data models and query languages
conceptual model |
0.0 | 1 | 1986 | An automated database design tool using the ELKA conceptual model · DAC 1986 |
Database system architecture and tuning › database design
database design tools |
0.0 | 1 | 1986 | An automated database design tool using the ELKA conceptual model · DAC 1986 |
Data integration and cleaning › metadata management
data dictionary |
0.0 | 1 | 1986 | An automated database design tool using the ELKA conceptual model · DAC 1986 |
Methods — techniques the papers use, named apart from their topics
schema mapping · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | An automated database design tool using the ELKA conceptual modelabstractA large group of database design methodologies relies solely on graphic representations of the conceptual schema. When this conceptual schema is translated manually to the DDL of a target DBMS errors are frequently introduced. The database design tool presented in this paper consists of a conceptual model definition language with its compiler, a data dictionary in which the metamodel of the database is stored and a mapping interface. The tool is based on the ELKA (Entity, Link, Key, Attribute) conceptual model, a model which normally relies on a graphic notation. In this tool ELKA structures are defined by the Database Administrator through the conceptual model definition language from where they are mapped automatically into database structures. The metamodel is accessible to the user through the DBMS's data manipulation language, while the equivalent database structures are accessible both to the user and the application programs. Finally, the modeling power of this tool is explored and necessary extensions are identified that are needed to handle the notion of molecular aggregation. J. Gonzalez-Sustaeta, Alejandro P. Buchmann |
DAC | 1 |