Article

Ontology Generation for Flight Safety Messages in Air Traffic Management(ATM)

2021-01-07

Abstract excerpt

<title>Abstract</title> <p>The analysis of various data is a challenging issue in the field of air traffic flow management (ATFM). Managing a large volume of data and their correct interpretation plays a key role in the prevention of air accidents, human errors, and flight interactions. In general, pilots and flight navigators deal with massive information, including flight safety messages, meteorological message...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ba7428f8-4de9-5b00-9920-988f6d9d4616
DOI: 10.21203/rs.3.rs-139993/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 8 closest

Ontology Generation for Flight Safety Messages in Air Traffic Management(ATM)DOI 10.21203/rs.3.rs-139993/v1Read

Using LLMs as AI Agents to Identify False Positive Alerts in Security Operation CenterSemantic proximity Read

Evaluating Airline Service Quality Using Fuzzy DEMATEL and ANPSemantic proximity Read

Artificial Intelligence in Flight Safety: Fatigue Monitoring and Risk Mitigation TechnologiesSemantic proximity Read

Connectivity Index of Directed Rough Fuzzy Graphs and its Application in Traffic Flow NetworkSemantic proximity Read

AQI Predication Using Temporal Data MiningSemantic proximity Read

Evaluating Information Content Methods for Semantic Similarity based on TaxonomiesSemantic proximity Read

New Ranking Approach of Intuitionistic Fuzzy Sets and its Application in Cognitive Transportation ProblemSemantic proximity Read

An Ontology-based approach for Modelling and Querying Alzheimer’s Disease DataSemantic proximity Read