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One of the most utilised technologies for knowledge representation is the knowledge graph (KG). Those connect entities (e.g. mathematical objects or concepts) by meaningful semantic relations. Mathematical knowledge can also be well represented by KGs. Often, it is useful to further structure the knowledge graph by the defining ontologies that restrict the set of possible relations.

Publications

 Talks, Poster

  • B. Schmidt, FAIR representation of mathematical research data: MathModDB and MathAlgoDB as knowledge graphs for mathematical models and numerical algorithms, Conference on Research Data Infrastructure (CoRDI), August 26 - 28, 2025, Rheinisch-Westfälische Technische Hochschule Aachen, August 28, 2025.

  • B. Schmidt, MathModDB: An ontology and knowledge graph for mathematical models, FAIR Data in Plasma Science (FDPS-IV), May 12 - 13, 2025, Leibniz-Institut für Plasmaforschung und Technologie, Greifswald, May 12, 2025.

  • B. Schmidt, Towards a knowledge graph for mathematical models and algorithms: Application to surface hopping trajectories, 61st Symposium on Theoretical Chemistry, September 22 - 26, 2025.

  • TH. Koprucki, FAIR representation of mathematical research data: MathModDB and MathAlgoDB as knowledge graphs for mathematical models and numerical algorithms, DiHMa.Lab Workshop, October 14 - 15, 2025, Freie Universität Berlin, October 15, 2025.

Contact

Contributing Groups of WIAS