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Graph-Based Knowledge Representation and Algorithms for Air and Maintenance Operations
Saab Aeronautics, Linköping, Sweden.
Saab Aeronautics, Linköping, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5562-1424
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
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2022 (English)In: 33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022, International Council of the Aeronautical Sciences , 2022, p. 6925-6943Conference paper, Published paper (Refereed)
Abstract [en]

This work presents an approach for information exchange between adjacent air operations domains by means of graph technologies. The approach has the ability to leverage interoperability and collaboration between air- and ground-based systems and stakeholders in respective domains. In its foundation, it provides a means for relevant actors to access and assess relevant data, information and knowledge, and thus provide input in terms of viable action alternatives in a complex and dynamic operational context. As a proof-of-concept, we have utilized a full-stack application framework to implement a decision support demonstrator for operational aircraft maintenance. Our solution facilitates a lightweight and dynamic representation of relevant domain knowledge, readily available for exploitation by graph algorithms, adapted to our domain. We have based our implementation on the full-stack application framework Grand-Stack, which is an architecture designed to exploit the power of graphs throughout its stack. © 2022 ICAS. All Rights Reserved.

Place, publisher, year, edition, pages
International Council of the Aeronautical Sciences , 2022. p. 6925-6943
Keywords [en]
Aircraft Maintenance, Grand-Stack, Graph Algorithms, Graph Database, Interoperability
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-62706Scopus ID: 2-s2.0-85159708436ISBN: 9781713871163 (print)OAI: oai:DiVA.org:mdh-62706DiVA, id: diva2:1760818
Conference
33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022, Stockholm, 4 September 2022 through 9 September 2022
Available from: 2023-05-31 Created: 2023-05-31 Last updated: 2023-05-31Bibliographically approved

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Scopushttps://migcasta.github.io/assets/pdf/ICAS-2022-castano.pdf

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Funk, PeterSohlberg, Rickard

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