Space and Air Traffic Management Situation Awareness with Notices

Air traffic management has long been associated with situation awareness, especially supporting pilots in assessment and response to challenging situations. For multi-domain air and space operations, artificial intelligence and recently large language models (LLMs) can increase semantic understanding. In this paper, we focus on LLM aerospace analysis of Notice to Airman (NOTAM) and Notice to Space Operators (NOTSO). The notices afford a communication of the situation that can be extracted as an ontology to support human operators. Results show that LLM-based clustering can facilitate cognitive situation awareness.