Using a Model-driven, Knowledge-based Approach to Cope with Complexity in Filtering of Notices to Airmen

Felix Burgstaller; Dieter Steiner; Bernd Neumayr; Michael Schrefl; Eduard Gringinger

Using a Model-driven, Knowledge-based Approach to Cope with Complexity in Filtering of Notices to Airmen

Felix Burgstaller
, Dieter Steiner
, Bernd Neumayr
, Michael Schrefl
, Eduard Gringinger

Institute of Business Informatics - Data & Knowledge Engineering

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

Abstract

A Notice to Airmen (NOTAM) is a safety- and time-critical announcement of temporary changes to flight conditions, for example, an airspace closure, and thus is essential to flight operations personnel. Reducing the number of irrelevant NOTAMs presented to personnel is critical to decrease information overload and thus the stress level of flight operations personnel. In this paper we present a multi-level knowledge model as well as the corresponding system architecture for a knowledge-based NOTAM filter and query system which has been developed as part of the Semantic NOTAM (Sem-NOTAM) research project. We identify types of complexity and their drivers relevant for the system and show how they are addressed in the knowledge model and architecture. Further, we describe modelling techniques, filter networks and our choice of technologies as means to cope with the identified types of complexity. The techniques and knowledge model proposed in this paper are not specific to the Sem-NOTAM project, but can be applied to other similar filter and query systems.

Original language	English
Title of host publication	Proceedings of the Twelfth Asia-Pacific Conference on Conceptual Modelling (APCCM 2016) at the Australasian Computer Science Week Multiconference (ACSW 2016), February 2-5, 2016, Canberra, Australia
Place of Publication	U.S.A.
Publisher	ACM Press
Number of pages	10
ISBN (Print)	978-1-4503-4042-7
Publication status	Published - Feb 2016

Fields of science

102 Computer Sciences
102010 Database systems
102015 Information systems
102016 IT security
102025 Distributed systems
102028 Knowledge engineering
102030 Semantic technologies
102033 Data mining
503008 E-learning

JKU Focus areas

Computation in Informatics and Mathematics
Management and Innovation

Cite this

Burgstaller, F., Steiner, D., Neumayr, B., Schrefl, M., & Gringinger, E. (2016). Using a Model-driven, Knowledge-based Approach to Cope with Complexity in Filtering of Notices to Airmen. In Proceedings of the Twelfth Asia-Pacific Conference on Conceptual Modelling (APCCM 2016) at the Australasian Computer Science Week Multiconference (ACSW 2016), February 2-5, 2016, Canberra, Australia ACM Press.

Burgstaller, Felix ; Steiner, Dieter ; Neumayr, Bernd et al. / Using a Model-driven, Knowledge-based Approach to Cope with Complexity in Filtering of Notices to Airmen. Proceedings of the Twelfth Asia-Pacific Conference on Conceptual Modelling (APCCM 2016) at the Australasian Computer Science Week Multiconference (ACSW 2016), February 2-5, 2016, Canberra, Australia. U.S.A. : ACM Press, 2016.

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title = "Using a Model-driven, Knowledge-based Approach to Cope with Complexity in Filtering of Notices to Airmen",

abstract = "A Notice to Airmen (NOTAM) is a safety- and time-critical announcement of temporary changes to flight conditions, for example, an airspace closure, and thus is essential to flight operations personnel. Reducing the number of irrelevant NOTAMs presented to personnel is critical to decrease information overload and thus the stress level of flight operations personnel. In this paper we present a multi-level knowledge model as well as the corresponding system architecture for a knowledge-based NOTAM filter and query system which has been developed as part of the Semantic NOTAM (Sem-NOTAM) research project. We identify types of complexity and their drivers relevant for the system and show how they are addressed in the knowledge model and architecture. Further, we describe modelling techniques, filter networks and our choice of technologies as means to cope with the identified types of complexity. The techniques and knowledge model proposed in this paper are not specific to the Sem-NOTAM project, but can be applied to other similar filter and query systems.",

author = "Felix Burgstaller and Dieter Steiner and Bernd Neumayr and Michael Schrefl and Eduard Gringinger",

year = "2016",

month = feb,

language = "English",

isbn = "978-1-4503-4042-7",

booktitle = "Proceedings of the Twelfth Asia-Pacific Conference on Conceptual Modelling (APCCM 2016) at the Australasian Computer Science Week Multiconference (ACSW 2016), February 2-5, 2016, Canberra, Australia",

publisher = "ACM Press",

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Burgstaller, F, Steiner, D, Neumayr, B, Schrefl, M & Gringinger, E 2016, Using a Model-driven, Knowledge-based Approach to Cope with Complexity in Filtering of Notices to Airmen. in Proceedings of the Twelfth Asia-Pacific Conference on Conceptual Modelling (APCCM 2016) at the Australasian Computer Science Week Multiconference (ACSW 2016), February 2-5, 2016, Canberra, Australia. ACM Press, U.S.A.

Using a Model-driven, Knowledge-based Approach to Cope with Complexity in Filtering of Notices to Airmen. / Burgstaller, Felix; Steiner, Dieter; Neumayr, Bernd et al.
Proceedings of the Twelfth Asia-Pacific Conference on Conceptual Modelling (APCCM 2016) at the Australasian Computer Science Week Multiconference (ACSW 2016), February 2-5, 2016, Canberra, Australia. U.S.A.: ACM Press, 2016.

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

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T1 - Using a Model-driven, Knowledge-based Approach to Cope with Complexity in Filtering of Notices to Airmen

AU - Burgstaller, Felix

AU - Steiner, Dieter

AU - Neumayr, Bernd

AU - Schrefl, Michael

AU - Gringinger, Eduard

PY - 2016/2

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N2 - A Notice to Airmen (NOTAM) is a safety- and time-critical announcement of temporary changes to flight conditions, for example, an airspace closure, and thus is essential to flight operations personnel. Reducing the number of irrelevant NOTAMs presented to personnel is critical to decrease information overload and thus the stress level of flight operations personnel. In this paper we present a multi-level knowledge model as well as the corresponding system architecture for a knowledge-based NOTAM filter and query system which has been developed as part of the Semantic NOTAM (Sem-NOTAM) research project. We identify types of complexity and their drivers relevant for the system and show how they are addressed in the knowledge model and architecture. Further, we describe modelling techniques, filter networks and our choice of technologies as means to cope with the identified types of complexity. The techniques and knowledge model proposed in this paper are not specific to the Sem-NOTAM project, but can be applied to other similar filter and query systems.

AB - A Notice to Airmen (NOTAM) is a safety- and time-critical announcement of temporary changes to flight conditions, for example, an airspace closure, and thus is essential to flight operations personnel. Reducing the number of irrelevant NOTAMs presented to personnel is critical to decrease information overload and thus the stress level of flight operations personnel. In this paper we present a multi-level knowledge model as well as the corresponding system architecture for a knowledge-based NOTAM filter and query system which has been developed as part of the Semantic NOTAM (Sem-NOTAM) research project. We identify types of complexity and their drivers relevant for the system and show how they are addressed in the knowledge model and architecture. Further, we describe modelling techniques, filter networks and our choice of technologies as means to cope with the identified types of complexity. The techniques and knowledge model proposed in this paper are not specific to the Sem-NOTAM project, but can be applied to other similar filter and query systems.

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

M3 - Conference proceedings

SN - 978-1-4503-4042-7

BT - Proceedings of the Twelfth Asia-Pacific Conference on Conceptual Modelling (APCCM 2016) at the Australasian Computer Science Week Multiconference (ACSW 2016), February 2-5, 2016, Canberra, Australia

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ER -

Burgstaller F, Steiner D, Neumayr B, Schrefl M, Gringinger E. Using a Model-driven, Knowledge-based Approach to Cope with Complexity in Filtering of Notices to Airmen. In Proceedings of the Twelfth Asia-Pacific Conference on Conceptual Modelling (APCCM 2016) at the Australasian Computer Science Week Multiconference (ACSW 2016), February 2-5, 2016, Canberra, Australia. U.S.A.: ACM Press. 2016

Using a Model-driven, Knowledge-based Approach to Cope with Complexity in 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

Using a Model-driven, Knowledge-based Approach to Cope with Complexity in 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