Skip to main content
SpringerLink
Log in

Ontologies in Aeronautics

  • Chapter
  • First Online:
Advances in Aeronautical Informatics

Abstract

Avionics systems are getting increasingly sophisticated, airspaces are densely occupied, and aircraft are desired to fly in more adverse weather conditions. These conditions increase the complexity of Air Traffic Management (ATM) as aviators and airspace controllers struggle to maintain safety while cross-checking multisource information, including information from Unmanned Aerial Systems (UASs) . Hence, future ATM decision-support systems are required not only to be autonomous and reliable complex decision-making processes with minimal human intervention, but also must be able to deal with UAS ATM (UTM). This chapter presents the implementation of Ontologies for NextGen Avionics Systems (ONAS) for UTM. The ONAS approach consists of an operation framework and an ontology-based tool, called Avionics Analytics Ontology (AAO), to support decision-making in advanced ATM/UTM systems. The AAO entails a cognitive ATM/UTM architecture for avionics analytics where an ontological database captures information related to weather, flights, and airspace. The AAO-based decision-making process supports human Situation AWareness (SAW) as well as machine Situation Assessment (SA). The ONAS approach presented is intended to be initially used in civil aviation. A use case along with two different scenarios is presented for an ATM/UTM system. The scenarios represent realistic flight situations (based on dataset from a flight tracking service) where the ATM/UTM decisions made are supported by the AAO.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. E. Blasch, P. Paces, P. Kostek, K. Kramer, Summary of avionics technologies. IEEE Aerosp. Electron. Syst. Mag. 30(9), 6–11 (2015)

    Article  Google Scholar 

  2. T. Gaska, C. Watkins, Y. Chen, Integrated moduLar avioincs - past, present, and future. IEEE Aerosp. Electron. Syst. Mag. 30(9), 12–23 (2015)

    Article  Google Scholar 

  3. A. Helfrick, The centennial of avioncs: our 100-year trek to performancebased navigation. IEEE Aerosp. Electron. Syst. Mag. 30(9), 36–45 (2015)

    Article  Google Scholar 

  4. J. Leuchter et al., Investigation of avionics power switch loading versus aircraft electromagnetic compatability. IEEE Aerosp. Electron. Syst. Mag. 30(9), 24–34 (2015)

    Article  Google Scholar 

  5. F. A. Association, Federal Aviation Association Next Generation (NextGen) (2017), https://www.faa.gov/nextgen

  6. E. Commission, Single European Sky ATM Research (SESAR) (2017), http://ec.europa.eu/transport/modes/air/sesar/index_en.htm

  7. R.M. Keller et al., Semenatic representation and scale-up of integrated air traffic management data, in International Workshop on Semantic Big Data (2016)

    Google Scholar 

  8. F. AB, Flightradar24 Live Air Traffic (2006), https://www.flightradar24.com

  9. E. Blasch, Enhanced air operations using JView for an air-ground fused situation awareness UDOP, in AIAA/IEEE Digital Avionics Systems Conference (2013)

    Google Scholar 

  10. E. Blasch, Ontologies for NextGen avionics systems, in AIAA/IEEE Digital Avionics Systems Conference (2015)

    Google Scholar 

  11. E. Blasch, M. Belanger, Agile battle management efficiency for command, control, communications, computers and intelligence (C4I). Proc. SPIE 9842 (2016)

    Google Scholar 

  12. EUROCONTROL. AIRM Primer (2015), https://www.eurocontrol.int/sites/default/files/content/documents/sesar/8.1.3.d47-airm-primer-v4.1.0.pdf

  13. C. Flachberger et al., Collaboration in crisis management - learning from the transportation domain, in Future Security (2015)

    Google Scholar 

  14. M. Zhao et al., The research synopsis about SWIM in china, in IEEE 12th International Symposium on Autonomous Decentralized System (2015)

    Google Scholar 

  15. F. Burgstaller et al., AIRM-based, fine-grained semantic filtering of notices to airmen, in Integrated Communication, Navigation and Surveillance Conference (2015)

    Google Scholar 

  16. R. Koelle, A. Tarter, Towards a distributed situation management capability for SESAR and NEXTGEN, in Integrated Communication, Navigation and Surveillance Conference (2012)

    Google Scholar 

  17. R. Koelle, W. Strijland, Semantic driven security assurance for system engineering in SESAR/NextGen, in Integrated Communication, Navigation and Surveillance Conference (2013)

    Google Scholar 

  18. J.R. Boyd, The Essence of Winning and Losing (1996)

    Google Scholar 

  19. E. Blasch, D.A. Lambert, P. Valin, M.M. Kokar, J. Llinas, S. Das, C.-Y. Chong, E. Shahbazian, High level information fusion (HLIF) survey of models, issues, and grand challenges. IEEE Aerosp. Electron. Syst. Mag. 27(9), 4–20 (2012)

    Article  Google Scholar 

  20. E. Blasch, A. Steinberg, S. Das, J. Llinas, C.-Y. Chong, O. Kessler, E. Waltz, F. White., Revisiting the JDL model for information Exploitation, in International Conference on Information Fusion (2013)

    Google Scholar 

  21. R. So, L. Sonenberg., Situation awareness in intelligent agents: foundations for a theory of proactive agent behavior, in IEEE/WIC/ACM International Conference on Intelligent Agent Technology (2004), pp. 86–92

    Google Scholar 

  22. E. Blasch, S. Plano, Level 5: user refinement to aid the fusion process. Proc. SPIE 5099 (2003)

    Google Scholar 

  23. E. Blasch, I. Kadar, K. Hintz, J. Biermann, C.C.S. Das, Resource management coordination with Level 2/3 fusion issues and challenges. IEEE Aerosp. Electron. Syst. Mag. 23(3), 32–46 (2008)

    Article  Google Scholar 

  24. M.C. Dorneich et al., Evaluation of information quality and automation visibility in information automation on the flight deck, in Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2015), pp. 284–288

    Article  Google Scholar 

  25. J. Rushby, Evaluation of information quality and automation visibility in Information automation on the flight deck, in International Conference on Distributed Computing and Internet Technology (ICDCIT), vol. 9581 (2016), pp. 19–29

    Google Scholar 

  26. E. Blasch, Ontological issues in higher levels of information fusion: user refinement of the fusion process, in International Conference on Info Fusion (2003)

    Google Scholar 

  27. P.C.G. Costa et al., Towards unbiased evaluation of uncertainty reasoning: the URREF ontology, in International Conference on Info Fusion (2012)

    Google Scholar 

  28. G. Schreiber et al., Knowledge Engineering and Management - The CommonKADS Methodology (MIT Press, Cambridge, 1999)

    Google Scholar 

  29. F. Baader, et al. (eds.), The Description Logic Handbook - Theory, Implementation and Applications (MIT Press, Cambridge, 2003)

    MATH  Google Scholar 

  30. G.D. Giacomo, M. Lenzerini, TBox and ABox reasoning in expressive description logics. Tech. report, AAAI Technical Report WS-96-05. 1996

    Google Scholar 

  31. S. University, The Protégé Wiki (2017), http://protegewiki.stanford.edu/wiki/Main_Page

  32. C.C. Insaurralde, E. Blasch., Ontological knowledge representation for avionics decision-making support, in AIAA/IEEE Digital Avionics Systems Conference (2016)

    Google Scholar 

  33. C.C. Insaurralde, E. Blasch., Veracity metrics for ontological decision- making support in avionics analytics, in AIAA/IEEE Digital Avionics Systems Conference (2017)

    Google Scholar 

  34. T. Lukoianova, V. Rubin., Veracity roadmap: is big data objective, truthful and credible? in Advances in Classification Research Online (2014)

    Article  Google Scholar 

  35. Z. Ding et al., BayesOWL: Uncertainty Modelling in Semantic Web Ontologies, in Soft Computing in Ontologies and Semantic Web, vol. 204 (2006) pp. 3–29

    Google Scholar 

  36. L. Snidaro, J.G. Herrero, J. Llinas, E. Blasch (eds.), Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge (Springer, Berlin, 2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Teesside University, Middlesbrough, UK

    Carlos C. Insaurralde

  2. US Air Force Research Lab, Rome, NY, USA

    Erik Blasch

Authors
  1. Carlos C. Insaurralde
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Erik Blasch
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Carlos C. Insaurralde .

Editor information

Editors and Affiliations

  1. Institute of Flight Systems, German Aerospace Center (DLR), Braunschweig, Germany

    Umut Durak

  2. Institute of Information Processing, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Jürgen Becker

  3. Department of Informatics, Clausthal University of Technology, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  4. Computer and Informatics Engineering Department, Technological Educational Institute of Western Greece, Nafpaktos, Greece

    Nikolaos S. Voros

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Insaurralde, C.C., Blasch, E. (2018). Ontologies in Aeronautics. In: Durak, U., Becker, J., Hartmann, S., Voros, N. (eds) Advances in Aeronautical Informatics. Springer, Cham. https://doi.org/10.1007/978-3-319-75058-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-75058-3_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75057-6

  • Online ISBN: 978-3-319-75058-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation