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NASA's ATM Ontology: Semantic Integration and Querying Across NAS Data SourcesNASA is developing an Air Traffic Management (ATM) Ontology as part of an advanced prototyping activity that demonstrates the utility of semantic technologies for integrating, querying, and searching over various sources of heterogeneous ATM data. The ontology encodes an overarching data model that functions as the backbone upon which to overlay data from multiple sources published by FAA, NOAA, NASA, and others. The integrated data can be queried to produce results not achievable using any single source alone. The ontology incorporates flight data, weather data, traffic management advisory data, airport delay data, and national airspace infrastructure data for a very limited spatial and temporal slice of airspace operations (one day of operations at a major airport).
Document ID
20190000452
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Keller, Richard M.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
February 9, 2019
Publication Date
August 25, 2015
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN25878
Report Number: ARC-E-DAA-TN25878
Meeting Information
Meeting: Air Transportation Information Exchange Conference
Location: Silver Spring, MD
Country: United States
Start Date: August 25, 2015
Sponsors: Federal Aviation Administration
Funding Number(s)
WBS: WBS 999182.02.30.01.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
air traffic management
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