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

  • Felix Burgstaller (Speaker)

Activity: Talk or presentationContributed talkunknown

Description

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.
Period21 Apr 2015
Event titleIntegrated Communications, Navigation and Surveillance Conference (ICNS), April 21-23, 2015, Washington, USA
Event typeConference
LocationUnited StatesShow on map

Fields of science

  • 102028 Knowledge engineering
  • 102016 IT security
  • 503008 E-learning
  • 102 Computer Sciences
  • 102030 Semantic technologies
  • 102010 Database systems
  • 102015 Information systems
  • 102025 Distributed systems

JKU Focus areas

  • Management and Innovation
  • Computation in Informatics and Mathematics