Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines
October 31, 2023 Β· Declared Dead Β· π International Conference on Metadata and Semantics Research
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Authors
BjΓΆrn Schembera, Frank WΓΌbbeling, Hendrik Kleikamp, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Aurela Shehu, Burkhard Schmidt, Thomas Koprucki, Dorothea Iglezakis, Dominik GΓΆddeke
arXiv ID
2310.20443
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.DB,
cs.DL,
cs.IR
Citations
3
Venue
International Conference on Metadata and Semantics Research
Last Checked
4 months ago
Abstract
In applied mathematics and related disciplines, the modeling-simulation-optimization workflow is a prominent scheme, with mathematical models and numerical algorithms playing a crucial role. For these types of mathematical research data, the Mathematical Research Data Initiative has developed, merged and implemented ontologies and knowledge graphs. This contributes to making mathematical research data FAIR by introducing semantic technology and documenting the mathematical foundations accordingly. Using the concrete example of microfracture analysis of porous media, it is shown how the knowledge of the underlying mathematical model and the corresponding numerical algorithms for its solution can be represented by the ontologies.
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