Demo Data from VLDB 2026 / reviewers in the wild / expert
Martin Buchheit
dblp:97/5315
· DBLP profile ↗
7ranked-venue papers
6as first author
0since 2021 · last 1998
0000-0002-5528-2039ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 4 first-authorDatabases, data management, data science and information retrieval · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 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.
| Artificial intelligence
3 papers |
Knowledge representation and reasoning · 74% Planning, search and constraint satisfaction · 26% | |
| Databases, data mining, and information retrieval
2 papers |
Data models and query languages · 100% | |
| Theoretical computer science
1 paper |
Logic in computer science · 50% Automated reasoning and model checking · 50% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology |
0.0 | 2 | 1998 | Refining the Structure of Terminological Systems: Terminology = Schema + Views · AAAI 1994 A Refined Architecture for Terminological Systems: Terminology = Schema + Views · Artif. Intell. 1998 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › global constraints
cardinality constraints |
0.0 | 1 | 1996 | Cardinality Restrictions on Concepts · Artif. Intell. 1996 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
description logic |
0.0 | 1 | 1996 | Cardinality Restrictions on Concepts · Artif. Intell. 1996 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › description logic
terminological representation systems |
0.0 | 1 | 1994 | Refining the Structure of Terminological Systems: Terminology = Schema + Views · AAAI 1994 |
Logic in computer science › knowledge representation and reasoning
description logic |
0.0 | 1 | 1993 | Decidable Reasoning in Terminological Knowledge Representation Systems · IJCAI 1993 |
Methods — techniques the papers use, named apart from their topics
tableau reasoning · 0.0description logic · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | A Refined Architecture for Terminological Systems: Terminology = Schema + Views
Martin Buchheit, Francesco M. Donini, Werner Nutt, Andrea Schaerf |
Artif. Intell. | 1 |
| 1996 | Cardinality Restrictions on Concepts
Franz Baader, Martin Buchheit, Bernhard Hollunder |
Artif. Intell. | 2 |
| 1994 | Refining the Structure of Terminological Systems: Terminology = Schema + Views
Martin Buchheit, Werner Nutt, Francesco M. Donini, Andrea Schaerf |
AAAI | 1 |
| 1994 | Subsumption between Queries to Object-Oriented Databases
Martin Buchheit, Manfred A. Jeusfeld, Werner Nutt, Martin Staudt 0001 |
EDBT | 1 |
| 1994 | Subsumption between queries to object-oriented databases
Martin Buchheit, Manfred A. Jeusfeld, Werner Nutt, Martin Staudt 0001 |
Inf. Syst. | 1 |
| 1993 | Decidable Reasoning in Terminological Knowledge Representation Systems
Martin Buchheit, Francesco M. Donini, Andrea Schaerf |
IJCAI | 1 |
| 1993 | Decidable Reasoning in Terminological Knowledge Representation SystemsabstractTerminological knowledge representation systems (TKRSs) are tools for designing and using knowledge bases that make use of terminological languages (or concept languages). We analyze from a theoretical point of view a TKRS whose capabilities go beyond the ones of presently available TKRSs. The new features studied, often required in practical applications, can be summarized in three main points. First, we consider a highly expressive terminological language, called ALCNR, including general complements of concepts, number restrictions and role conjunction. Second, we allow to express inclusion statements between general concepts, and terminological cycles as a particular case. Third, we prove the decidability of a number of desirable TKRS-deduction services (like satisfiability, subsumption and instance checking) through a sound, complete and terminating calculus for reasoning in ALCNR-knowledge bases. Our calculus extends the general technique of constraint systems. As a byproduct of the proof, we get also the result that inclusion statements in ALCNR can be simulated by terminological cycles, if descriptive semantics is adopted. Martin Buchheit, Francesco M. Donini, Andrea Schaerf |
J. Artif. Intell. Res. | 1 |