Demo Data from EDBT 2026 / reviewers in the wild / expert
Karl-Hans Bläsius
dblp:b/KHBlasius
· DBLP profile ↗
4ranked-venue papers
4as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorTheory of computation · 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.
| Theoretical computer science
2 papers |
Automated reasoning and model checking · 72% Computational complexity · 20% Logic in computer science · 8% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Automated reasoning and model checking
theorem proving |
0.0 | 2 | 1983 | Equality Reasoning in Clause Graphics · IJCAI 1983 The Markgraf Karl Refutation Procedure · IJCAI 1981 |
Automated reasoning and model checking
equational reasoning |
0.0 | 1 | 1983 | Equality Reasoning in Clause Graphics · IJCAI 1983 |
Computational complexity › proof complexity
refutation algorithms |
0.0 | 1 | 1981 | The Markgraf Karl Refutation Procedure · IJCAI 1981 |
Logic in computer science
proof theory |
0.0 | 1 | 1983 | Equality Reasoning in Clause Graphics · IJCAI 1983 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Knowledge-based Document AnalysisabstractThe performance of document analysis systems significantly depends on knowledge about the application domain that can be exploited in the analysis process. Typically one has to deal with different sources of knowledge like syntactic knowledge, semantic knowledge or strategic knowledge guiding the analysis process. We present a knowledge based document analysis system based on tasks. It allows to model and to interpret structural knowledge about documents and knowledge about the analysis process declaratively in a common framework. Karl-Hans Bläsius, Beate Grawemeyer, Isabel John, Norbert Kuhn |
ICDAR | 1 |
| 1988 | Partial Unification for Graph Based Equational Reasoning
Karl-Hans Bläsius, Jörg H. Siekmann |
CADE | 1 |
| 1983 | Equality Reasoning in Clause Graphics
Karl-Hans Bläsius |
IJCAI | 1 |
| 1981 | The Markgraf Karl Refutation Procedure
Karl-Hans Bläsius, Norbert Eisinger, Jörg H. Siekmann, Gert Smolka, Alexander Herold, Christoph Walther |
IJCAI | 1 |