EDBT 2026 Demo / reviewers in the wild / expert
Georg Ehling
dblp:381/0110
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0003-5931-9673ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Quantitative Equational RewritingabstractRewriting logic is a logical framework for expressing both concurrent computation and logical deduction using equations and rewrite rules. Quantitative equational reasoning enriches equations with quantitative measures, expressing concepts such as similarity or proximity rather than mere equality of terms. In this article, we bring these two approaches together and propose a quantitative extension of rewriting logic as a flexible formalism for quantitative deduction and computation. Besik Dundua, Georg Ehling, Santiago Escobar 0001, Maribel Fernández, Temur Kutsia |
MFCS | 2 |
| 2025 | Graded Quantitative Narrowing
Mauricio Ayala-Rincón, Thaynara A. de Lima, Georg Ehling, Temur Kutsia |
CICM | 3 |
| 2024 | Solving Quantitative EquationsabstractAbstract Quantitative equational reasoning provides a framework that extends equality to an abstract notion of proximity by endowing equations with an element of a quantale. In this paper, we discuss the unification problem for a special class of shallow subterm-collapse-free quantitative equational theories. We outline rule-based algorithms for solving such equational unification problems over generic as well as idempotent Lawvereian quantales and study their properties. Georg Ehling, Temur Kutsia |
IJCAR (2) | 1 |