Summary of Towards a Fair Documentation Of Workflows and Models in Applied Mathematics, by Marco Reidelbach et al.
Towards a FAIR Documentation of Workflows and Models in Applied Mathematics
by Marco Reidelbach, Björn Schembera, Marcus Weber
First submitted to arxiv on: 26 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Databases (cs.DB); Digital Libraries (cs.DL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents the Mathematical Research Data Initiative (MaRDI), which aims to standardize the documentation of Modeling-Simulation-Optimization workflows in applied mathematics using a FAIR and machine-interpretable template. The MaRDI template enables scientists from diverse fields to document and publish their workflows on the MaRDI Portal seamlessly. A key component is the MathModDB ontology, which offers a structured formal model description. This paper demonstrates the interaction between MaRDMO and the MathModDB Knowledge Graph through an algebraic modeling workflow in the Digital Humanities, showcasing the versatility of these services beyond their original numerical domain. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps make it easier for scientists to share their work by creating a special template for describing how they do math problems on computers. The template is designed so that computers can understand it too! This makes it easier for other researchers to find and use the same methods. The template also includes a way to describe what kind of math problem is being solved, which helps people find the right tools and resources. The paper shows how this works with an example from a field called Digital Humanities. |
Keywords
» Artificial intelligence » Knowledge graph » Optimization
