Demo Data from VLDB 2026 / reviewers in the wild / expert
Stefan Grufman
dblp:73/5281
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1997
—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-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 |
Data integration and cleaning · 30% Transaction processing and concurrency control · 30% Data models and query languages · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data models and query languages › data modeling
functional data model |
0.0 | 1 | 1997 | Distributing Semantic Constraints Between Heterogeneous Databases · ICDE 1997 |
Data integration and cleaning
heterogeneous data integration |
0.0 | 1 | 1997 | Distributing Semantic Constraints Between Heterogeneous Databases · ICDE 1997 |
Transaction processing and concurrency control › data integrity
integrity constraint enforcement |
0.0 | 1 | 1997 | Distributing Semantic Constraints Between Heterogeneous Databases · ICDE 1997 |
Distributed and cloud data management
multidatabase systems |
0.0 | 1 | 1997 | Distributing Semantic Constraints Between Heterogeneous Databases · ICDE 1997 |
Methods — techniques the papers use, named apart from their topics
constraint transformation · 0.0active rules · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Distributing Semantic Constraints Between Heterogeneous DatabasesabstractIn recent years, research on distributing databases over networks has become increasingly important. In this paper, we concentrate on the issues of the interoperability of heterogeneous DBMSs and enforcing integrity across a multi-database made in this fashion. This has been done through a cooperative project between Aberdeen and Linko/spl uml/ping universities, with database modules distributed between the sites. In the process, we have shown the advantage of using DBMSs based on variants of the functional data model (FDM), which has made it remarkably straightforward to interoperate queries and schema definitions. Further, we have used the constraint transformation facilities of P/FDM (Prolog implementation of FDM) to compile global constraints into active rules installed locally on one or more AMOS (Active Mediators Object System) servers. We present the theory behind this, and the conditions for it to improve performance. Stefan Grufman, Fredrik Samson, Suzanne M. Embury, Peter M. D. Gray, Tore Risch |
ICDE | 1 |