Interactive research map of ATM
Deliverables published by SESAR 1 and SESAR 2020 projects were sourced as an input to this research mapping task. The mapping employs a bottom-up approach for knowledge mining and classifying the research. Natural language processing was applied to extract keywords and frequencies from each project, followed by a machine learning algorithm to generate project clusters based on their similarities. For each project, click on the node to see key information. The tool allows users to filter projects by specific terms (e.g. "SWIM").
We continue to add features suggested by our use case survey, and welcome your feedback. Select ‘Page ... Discussion ...’ to get involved. Click here for a fuller explanatory text.