19 citations · 29 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…