This is a past event
Research Software is key to understand, reproduce and reuse existing work in many disciplines, ranging from Geosciences to Astronomy or Artificial Intelligence. However, research software is usually difficult to find, reuse, compare and understand due to its disconnected documentation (dispersed in manuals, readme files, web sites, and code comments) and a lack of structured metadata to describe it. These problems affect not only researchers, but also students who aim to compare published findings and policy makers seeking clarity on a scientific result. In this talk I will present the main research challenges and our recent efforts towards facilitating software understanding by automatically capturing Knowledge Graphs from software documentation and code.
- Speaker
- Daniel Garijo Verdejo
- Venue
- Meston 2 and MS Teams
- Contact
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Please contact Ehud Reiter (e.reiter@abdn.ac.uk) for more information