Demo Data from EDBT 2026 / reviewers in the wild / expert
Peter Peelman
dblp:27/3522
· DBLP profile ↗
5ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 4Artificial intelligence and machine learning · 2Theory of computation · 2
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 models and query languages · 50% Database theory · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database theory › deductive database
deductive database language |
0.0 | 1 | 1995 | G-Log: A Graph-Based Query Language · IEEE Trans. Knowl. Data Eng. 1995 |
Data models and query languages
graph query language |
0.0 | 1 | 1995 | G-Log: A Graph-Based Query Language · IEEE Trans. Knowl. Data Eng. 1995 |
Methods — techniques the papers use, named apart from their topics
logic programming · 0.0complex objects with identity · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Merging Graph-Based and Rule-Based Computation: The Language G-Log
Jan Paredaens, Peter Peelman, Letizia Tanca |
Data Knowl. Eng. | 2 |
| 1998 | Expressiveness and Complexity of Generic Graph Machines
Marc Gemis, Jan Paredaens, Peter Peelman, Jan Van den Bussche |
Theory Comput. Syst. | 3 |
| 1995 | G-Log: A Graph-Based Query LanguageabstractWe introduce G-Log, a declarative query language based on graphs, which combines the expressive power of logic, the modeling power of complex objects with identity and the representation power of graphs. G-Log is a nondeterministic complete query language, and thus allows the expression of a large variety of queries. We compare G-Log to well-known deductive database languages, and find that it is the only nondeterministic and computationally complete language that does not suffer from the copy-elimination problem. G-Log may be used in a totally declarative way, as well as in a "more procedural" way. Thus, it provides an intuitive, flexible graph-based formalism for nonexpert database users.> Jan Paredaens, Peter Peelman, Letizia Tanca |
IEEE Trans. Knowl. Data Eng. | 2 |
| 1990 | Integration of Functions in Logic Database Systems
Erik Lambrichts, Peter Nees, Jan Paredaens, Peter Peelman |
Data Knowl. Eng. | 4 |
| 1990 | Checking Functional Consistency in Deductive Databases
Erik Lambrichts, Peter Nees, Jan Paredaens, Peter Peelman, Letizia Tanca |
Inf. Process. Lett. | 4 |