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Peter Peelman

dblp:27/3522 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Database theory › deductive database
deductive database language
0.011995
G-Log: A Graph-Based Query Language · IEEE Trans. Knowl. Data Eng. 1995
Data models and query languages
graph query language
0.011995
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
YearPublicationVenuePosition
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 Language
abstract
We 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