The Case for Contextualized Knowledge Graphs in Air Traffic Management

Christoph Georg Schütz; Bernd Neumayr; Michael Schrefl; Eduard Gringinger; Audun Vennesland; Scott Wilson

The Case for Contextualized Knowledge Graphs in Air Traffic Management

Christoph Georg Schütz, Bernd Neumayr, Michael Schrefl, Eduard Gringinger, Audun Vennesland, Scott Wilson

Institute of Business Informatics - Data and Knowledge Engineering

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

Abstract

Knowledge graphs represent real-world entities and their relationships with each other, with a broad range of applications in various domains. In this paper, we argue that contextualized knowledge graphs fit naturally with air traffic management, which heavily depends on the timely flow of required information. In particular, we illustrate how the temporality concept of the Aeronautical Information Exchange Model is represented using contextualized knowledge graphs with a temporal dimension. We further explain what spatial, provenance, and other semantic dimensions of context are relevant for air traffic management. We draw from experience with past research projects on the benefits of employing semantic web technologies for air traffic management. Keywords: Resource Description Framework, Aeronautical Information Exchange Model, ATM knowledge graphs, Temporal context.

Original language	English
Title of host publication	Proceedings of the 1st International Workshop on Contextualized Knowledge Graphs (CKG 2018), co-located with ISWC 2018, October 9, 2018, Monterey, CA, U.S.A.
Publisher	CEUR Digital
Number of pages	8
Publication status	Published - Oct 2018

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
102033 Data mining
502050 Business informatics
503008 E-learning

JKU Focus areas

Computation in Informatics and Mathematics
Management and Innovation

Cite this

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title = "The Case for Contextualized Knowledge Graphs in Air Traffic Management",

abstract = "Knowledge graphs represent real-world entities and their relationships with each other, with a broad range of applications in various domains. In this paper, we argue that contextualized knowledge graphs fit naturally with air traffic management, which heavily depends on the timely flow of required information. In particular, we illustrate how the temporality concept of the Aeronautical Information Exchange Model is represented using contextualized knowledge graphs with a temporal dimension. We further explain what spatial, provenance, and other semantic dimensions of context are relevant for air traffic management. We draw from experience with past research projects on the benefits of employing semantic web technologies for air traffic management. Keywords: Resource Description Framework, Aeronautical Information Exchange Model, ATM knowledge graphs, Temporal context.",

author = "Sch{\"u}tz, {Christoph Georg} and Bernd Neumayr and Michael Schrefl and Eduard Gringinger and Audun Vennesland and Scott Wilson",

year = "2018",

month = oct,

language = "English",

booktitle = "Proceedings of the 1st International Workshop on Contextualized Knowledge Graphs (CKG 2018), co-located with ISWC 2018, October 9, 2018, Monterey, CA, U.S.A.",

publisher = "CEUR Digital",

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The Case for Contextualized Knowledge Graphs in Air Traffic Management. / Schütz, Christoph Georg; Neumayr, Bernd; Schrefl, Michael et al.
Proceedings of the 1st International Workshop on Contextualized Knowledge Graphs (CKG 2018), co-located with ISWC 2018, October 9, 2018, Monterey, CA, U.S.A.. CEUR Digital, 2018.

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

TY - GEN

T1 - The Case for Contextualized Knowledge Graphs in Air Traffic Management

AU - Schütz, Christoph Georg

AU - Neumayr, Bernd

AU - Schrefl, Michael

AU - Gringinger, Eduard

AU - Vennesland, Audun

AU - Wilson, Scott

PY - 2018/10

Y1 - 2018/10

N2 - Knowledge graphs represent real-world entities and their relationships with each other, with a broad range of applications in various domains. In this paper, we argue that contextualized knowledge graphs fit naturally with air traffic management, which heavily depends on the timely flow of required information. In particular, we illustrate how the temporality concept of the Aeronautical Information Exchange Model is represented using contextualized knowledge graphs with a temporal dimension. We further explain what spatial, provenance, and other semantic dimensions of context are relevant for air traffic management. We draw from experience with past research projects on the benefits of employing semantic web technologies for air traffic management. Keywords: Resource Description Framework, Aeronautical Information Exchange Model, ATM knowledge graphs, Temporal context.

AB - Knowledge graphs represent real-world entities and their relationships with each other, with a broad range of applications in various domains. In this paper, we argue that contextualized knowledge graphs fit naturally with air traffic management, which heavily depends on the timely flow of required information. In particular, we illustrate how the temporality concept of the Aeronautical Information Exchange Model is represented using contextualized knowledge graphs with a temporal dimension. We further explain what spatial, provenance, and other semantic dimensions of context are relevant for air traffic management. We draw from experience with past research projects on the benefits of employing semantic web technologies for air traffic management. Keywords: Resource Description Framework, Aeronautical Information Exchange Model, ATM knowledge graphs, Temporal context.

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

M3 - Conference proceedings

BT - Proceedings of the 1st International Workshop on Contextualized Knowledge Graphs (CKG 2018), co-located with ISWC 2018, October 9, 2018, Monterey, CA, U.S.A.

PB - CEUR Digital

ER -

The Case for Contextualized Knowledge Graphs in Air Traffic Management

Abstract

Fields of science

JKU Focus areas

Other files and links

BEST - Achieving the BEnefits of SWIM by making smart use of Semantic Technologies

Cite this

The Case for Contextualized Knowledge Graphs in Air Traffic Management

Abstract

Fields of science

JKU Focus areas

Other files and links

Projects

BEST - Achieving the BEnefits of SWIM by making smart use of Semantic Technologies

Cite this