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AIRM-based, Fine-grained Semantic Filtering of Notices to Airmen

  • Felix Burgstaller
  • , Dieter Steiner
  • , Michael Schrefl
  • , Eduard Gringinger
  • , Scott Wilson
  • , Sam Van der Stricht

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

NOTAMs are time- and safety-critical announcements of temporary changes to global flight conditions essential to personnel concerned with flight operations. In this paper we introduce SemNOTAM, a knowledge-based framework that enables fine-grained intelligent semantic filtering and provides a formal, explicit, and machine-readable representation of Digital NOTAMs and associated business rules. Filtering functionalities for time, space, aircraft, user-defined aspects, and any combination thereof are supported. Furthermore, SemNOTAM is designed in such a way that it can be employed in various scenarios, e.g., On-Board briefing or Flight Planning Briefing. Regardless the specific scenario 100% recall is supported.
OriginalspracheEnglisch
TitelIntegrated Communications, Navigation and Surveillance Conference (ICNS), April 21-23, 2015, Washington, USA, IEEE, 2015
ErscheinungsortPublication received "Best Student Paper Award".
VerlagIEEE Computer Society
SeitenD3-1 - D3-13
Seitenumfang13
PublikationsstatusVeröffentlicht - Apr. 2015

Wissenschaftszweige

  • 102 Informatik
  • 102010 Datenbanksysteme
  • 102015 Informationssysteme
  • 102016 IT-Sicherheit
  • 102025 Verteilte Systeme
  • 102027 Web Engineering
  • 102028 Knowledge Engineering
  • 102030 Semantische Technologien
  • 502050 Wirtschaftsinformatik
  • 503008 E-Learning

JKU-Schwerpunkte

  • Computation in Informatics and Mathematics
  • Management and Innovation

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