Comparison of approaches for creating knowledge graphs from scientific software metadata

This table compares three recent studies focused on extracting and structuring metadata from scientific software into knowledge graphs. They use methods like metadata extraction frameworks, static code analysis, and data mining from repositories like GitHub, Zenodo, and figshare. Results include the creation of extensive knowledge graphs and structured scholarly knowledge, enhancing accessibility and reproducibility in scientific research.