Pregled bibliografske jedinice broj: 1246092
Creating an ATC knowledge graph in support of the artificial situational awareness system
Creating an ATC knowledge graph in support of the artificial situational awareness system // International Scientific Conference "The Science and Development of Transport - Znanost i razvitak prometa - ZIRP 2022" / Petrović, Marjana ; Dovbischuk, Irina ; Cunha, André Luiz (ur.).
Šibenik, Hrvatska: Elsevier, 2022. str. 328-336 doi:10.1016/j.trpro.2022.09.037 (predavanje, recenziran, cjeloviti rad (in extenso), znanstveni)
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Naslov
Creating an ATC knowledge graph in support of the artificial situational awareness system
Autori
Schrefl, Michael ; Neumayr, Bernd ; Gruber, Sebastian ; Hartmann, Marlene ; Tukarić, Ivan ; Radišić, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
International Scientific Conference "The Science and Development of Transport - Znanost i razvitak prometa - ZIRP 2022"
/ Petrović, Marjana ; Dovbischuk, Irina ; Cunha, André Luiz - : Elsevier, 2022, 328-336
Skup
International Scientific Conference “The Science and Development of Transport - Znanost i razvitak prometa” (ZIRP 2022)
Mjesto i datum
Šibenik, Hrvatska, 28.09.2022. - 30.09.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Recenziran
Ključne riječi
air traffic control ; AIXM ; artificial situational awareness ; FIXM ; hybrid system ; Knowledge graph
Sažetak
Automation has been recognized as a possible solution for increasing air traffic controller workload trends. This paper presents a methodology for creating an air traffic control knowledge graph, which is used as part of a hybrid artificial intelligence system for air traffic control operations. The system combines machine learning and symbolic reasoning with the purpose of achieving artificial situational awareness in a narrow domain of en-route air traffic control operations. This approach allows the use of user-defined knowledge alongside existing knowledge repositories. The novel knowledge graph development methodology is universal for any area of air traffic management which relies on the aeronautical information exchange models. In this paper we also present the open-source tools which were developed to make this approach possible and system performance evaluations. Future work should address achieving real-time operation and additional task automation, accompanied by appropriate ontology and graph expansion.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
Napomena
Transportation Research Procedia Volume 64, Issue C
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
