466
Y. Sheng et al.
References
1. Keller RM (2016) Ontologies for aviation data management. In: 2016 IEEE/AIAA
35th digital avionics systems conference (DASC). IEEE, pp 1-9
2. Blasch E, Kostek P et al (2015) Summary of avionics technologies. IEEE Aerosp
Electron Syst Mag 30(9):6–11
3. Chandrasekaran B, Josephson JR, Benjamins VR (1999) What are ontologies, and
why do we need them? IEEE Intell Syst 1:20–26
4. Fensel D (2001) Ontologies. Springer
5. Gruber TR (1993) A translation approach to portable ontology specifications.
Knowl Acquis 5(2):199–220
6. Borst WN, Akkermans JM (1997) Engineering ontologies. Int J Hum-Comput Stud
46(2/3):365–406
7. W3C (2014) RDF 1.1 concepts and abstract syntax. Available from: http://www.
w3.org/TR/rdf11-concepts/
8. W3C (2014) RDF schema 1.1. Available from: http://www.w3.org/TR/rdfschema/
9. W3C (2014) OWL 2 web ontology language document overview, 2nd edn. Available
from: https://www.w3.org/TR/owl2-overview/
10. Miller D (2017) An ontology for future airspace system architectures. In: 2017
IEEE/AIAA 36th digital avionics systems conference (DASC). IEEE, pp 1–8
11. Keller RM (2015) NASA’s ATM ontology. Paper presented at the Air transportation information exchange conference, Silver Spring, MD
12. Keller RM (2015) Data integration using the NASA air traffic management ontology. Paper presented at the Semantic web for air transportation (SWAT-2015),
Washington, DC
13. FAA (2009) Traffic flow management in the National Airspace System. Available from: https://www.fly.faa.gov/Products/Training/Traffic Management for
Pilots/TFM in the NAS Booklet ca10.pdf
14. Cowell D, Buchanan CL, Eberhardt J (2015) Enterprise information management
(EIM) at the FAA: translating semantic technologies into direct user benefit. Paper
presented at the Semantic web for air transportation (SWAT-2015), Washington,
DC
15. Yan Y, Ding H (2019) Big data value embodiment of air traffic management in
business operation. Command Inf Syst Technol 10(1):7–12
Y. Sheng et al.
References
1. Keller RM (2016) Ontologies for aviation data management. In: 2016 IEEE/AIAA
35th digital avionics systems conference (DASC). IEEE, pp 1-9
2. Blasch E, Kostek P et al (2015) Summary of avionics technologies. IEEE Aerosp
Electron Syst Mag 30(9):6–11
3. Chandrasekaran B, Josephson JR, Benjamins VR (1999) What are ontologies, and
why do we need them? IEEE Intell Syst 1:20–26
4. Fensel D (2001) Ontologies. Springer
5. Gruber TR (1993) A translation approach to portable ontology specifications.
Knowl Acquis 5(2):199–220
6. Borst WN, Akkermans JM (1997) Engineering ontologies. Int J Hum-Comput Stud
46(2/3):365–406
7. W3C (2014) RDF 1.1 concepts and abstract syntax. Available from: http://www.
w3.org/TR/rdf11-concepts/
8. W3C (2014) RDF schema 1.1. Available from: http://www.w3.org/TR/rdfschema/
9. W3C (2014) OWL 2 web ontology language document overview, 2nd edn. Available
from: https://www.w3.org/TR/owl2-overview/
10. Miller D (2017) An ontology for future airspace system architectures. In: 2017
IEEE/AIAA 36th digital avionics systems conference (DASC). IEEE, pp 1–8
11. Keller RM (2015) NASA’s ATM ontology. Paper presented at the Air transportation information exchange conference, Silver Spring, MD
12. Keller RM (2015) Data integration using the NASA air traffic management ontology. Paper presented at the Semantic web for air transportation (SWAT-2015),
Washington, DC
13. FAA (2009) Traffic flow management in the National Airspace System. Available from: https://www.fly.faa.gov/Products/Training/Traffic Management for
Pilots/TFM in the NAS Booklet ca10.pdf
14. Cowell D, Buchanan CL, Eberhardt J (2015) Enterprise information management
(EIM) at the FAA: translating semantic technologies into direct user benefit. Paper
presented at the Semantic web for air transportation (SWAT-2015), Washington,
DC
15. Yan Y, Ding H (2019) Big data value embodiment of air traffic management in
business operation. Command Inf Syst Technol 10(1):7–12