19 citations · 29 across the 7 of their papers we have counts for
7 papers
Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration
Jan Range, Björn Schembera, Dominik Göddeke
Mathematical models are central to formalizing research problems, yet their documentation often falls short of FAIR principles. Knowledge bases such as the Mathematical Model Datab…
MathModDB: A Database for Mathematical Models
Jochen Fiedler, Christine Biedinger, Marco Reidelbach +4
When researchers need a mathematical model for a research problem, they face a fragmented landscape: relevant formulas, quantities, assumptions, and model variants are scattered ac…
Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics
Björn Schembera, Frank Wübbeling, Hendrik Kleikamp +8
Mathematical models and algorithms are an essential part of mathematical research data, as they are epistemically grounding numerical data. In order to represent models and algorit…
Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines
Björn Schembera, Frank Wübbeling, Hendrik Kleikamp +8
In applied mathematics and related disciplines, the modeling-simulation-optimization workflow is a prominent scheme, with mathematical models and numerical algorithms playing a cru…
Research-Data Management Planning in the German Mathematical Community
Tobias Boege, René Fritze, Christiane Görgen +13
In this paper we discuss the notion of research data for the field of mathematics and report on the status quo of research-data management and planning. A number of decentralized a…
EngMeta -- Metadata for Computational Engineering
Björn Schembera, Dorothea Iglezakis
Computational engineering generates knowledge through the analysis and interpretation of research data, which is produced by computer simulation. Supercomputers produce huge amount…