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The Case for Contextualized Knowledge Graphs in Air Traffic Management

Authors: C. Schütz, B. Neumayr, M. Schrefl, E. Gringinger, A. Vennesland, S. Wilson
Paper: Schu18c (2018)
Citation: Proceedings of the 1st International Workshop on Contextualized Knowledge Graphs (CKG 2018), co-located with the 17th International Semantic Web Conference (ISWC 2018), October 8-12, 2018, Monterey, CA, U.S.A., CEUR Workshop Proceedings, 2018.
Resources: Copy  (In order to obtain the copy please send an email with subject  Schu18c  to dke.win@jku.at)


Abstract (English):

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.