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

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

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

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

Institute of Business Informatics - Data & Knowledge Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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.

Original language	English
Title of host publication	Integrated Communications, Navigation and Surveillance Conference (ICNS), April 21-23, 2015, Washington, USA, IEEE, 2015
Place of Publication	Publication received "Best Student Paper Award".
Publisher	IEEE Computer Society
Pages	D3-1 - D3-13
Number of pages	13
Publication status	Published - Apr 2015

Fields of science

102 Computer Sciences
102010 Database systems
102015 Information systems
102016 IT security
102025 Distributed systems
102027 Web engineering
102028 Knowledge engineering
102030 Semantic technologies
502050 Business informatics
503008 E-learning

JKU Focus areas

Computation in Informatics and Mathematics
Management and Innovation

Cite this

@inproceedings{4d365e7f32974e2bb7359be33afc9a15,

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

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.",

author = "Felix Burgstaller and Dieter Steiner and Michael Schrefl and Eduard Gringinger and Scott Wilson and \{Van der Stricht\}, Sam",

year = "2015",

month = apr,

language = "English",

pages = "D3--1 -- D3--13",

booktitle = "Integrated Communications, Navigation and Surveillance Conference (ICNS), April 21-23, 2015, Washington, USA, IEEE, 2015",

publisher = "IEEE Computer Society",

}

Burgstaller, F, Steiner, D, Schrefl, M, Gringinger, E, Wilson, S & Van der Stricht, S 2015, AIRM-based, Fine-grained Semantic Filtering of Notices to Airmen. in Integrated Communications, Navigation and Surveillance Conference (ICNS), April 21-23, 2015, Washington, USA, IEEE, 2015. IEEE Computer Society, Publication received "Best Student Paper Award"., pp. D3-1 - D3-13.

AIRM-based, Fine-grained Semantic Filtering of Notices to Airmen. / Burgstaller, Felix; Steiner, Dieter; Schrefl, Michael et al.
Integrated Communications, Navigation and Surveillance Conference (ICNS), April 21-23, 2015, Washington, USA, IEEE, 2015. Publication received "Best Student Paper Award".: IEEE Computer Society, 2015. p. D3-1 - D3-13.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - AIRM-based, Fine-grained Semantic Filtering of Notices to Airmen

AU - Burgstaller, Felix

AU - Steiner, Dieter

AU - Schrefl, Michael

AU - Gringinger, Eduard

AU - Wilson, Scott

AU - Van der Stricht, Sam

PY - 2015/4

Y1 - 2015/4

N2 - 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.

AB - 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.

UR - http://www.dke.jku.at/research/publications/index.xq

M3 - Conference proceedings

SP - D3-1 - D3-13

BT - Integrated Communications, Navigation and Surveillance Conference (ICNS), April 21-23, 2015, Washington, USA, IEEE, 2015

PB - IEEE Computer Society

CY - Publication received "Best Student Paper Award".

ER -

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

Abstract

Fields of science

JKU Focus areas

Other files and links

SemNOTAM - SemanticNOTAMs: Ontology-based Representation and Semantic Quering of Digital Notices to Airman

Cite this

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

Abstract

Fields of science

JKU Focus areas

Other files and links

Projects

SemNOTAM - SemanticNOTAMs: Ontology-based Representation and Semantic Quering of Digital Notices to Airman

Cite this