Graph-Based Knowledge Representation and Algorithms for Air and Maintenance OperationsVisa övriga samt affilieringar
2022 (Engelska)Ingår i: ICAS Proceedings 33rd Congress of the International Council of the Aeronautical Sciences, Stockholm, Sweden, International Council of the Aeronautical Sciences , 2022, s. 6925-6943Konferensbidrag, Publicerat paper (Refereegranskat)
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 utilizeda 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.
Ort, förlag, år, upplaga, sidor
International Council of the Aeronautical Sciences , 2022. s. 6925-6943
Nyckelord [en]
Graph Database, Graph Algorithms, Interoperability, Aircraft Maintenance, Grand-Stack
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-97818Scopus ID: 2-s2.0-85159708436OAI: oai:DiVA.org:ltu-97818DiVA, id: diva2:1765189
Konferens
33rd Congress of the International Council of the Aeronautical Sciences (ICAS 2022), Stockholm, Sweden, September 4-9, 2022
Forskningsfinansiär
Vinnova2023-06-092023-06-092026-02-12Bibliografiskt granskad