MathModDB: An Ontology and Knowledge Graph for Mathematical Models
- Aurela Shehu
Abstract
Mathematics is centered around artifacts such as well-defined mathematical objects, such as theorems, related proofs or formulae. However, this perspective, e.g., overlooks the role of mathematical models in applied mathematics as essential tools for solving real-world problems. They are not just theoretical constructs but valuable research data that should be recognized as FAIR research objects. In this talk, we introduce MathModDB, an ontology and knowledge graph for mathematical models, that provides a semantic representation of these research assets. This structured knowledge facilitates the discovery of existing, alternative, competing, or complementary models within and across disciplines. Embedded into the MaRDI knowledge graph, MathModDB supports and enhances the search for information on models and related literature and software conducted by librarians and researchers at all levels beyond a classical keyword search, making it a valuable resource for diverse academic and research needs.