Victoria Ines Kaar,
"Mapping AIXM Schema and Instance Data To RDF(S)"
, 9-2021, Masterarbeit am Institut für Wirtschaftsinformatik - Data & Knowledge Engineering, Betreuung: Assoz. Univ.-Prof. Mag. Dr. Christoph G. Schütz, unter Anleitung von Dr. Bernd Neumayr
Original Titel:
Mapping AIXM Schema and Instance Data To RDF(S)
Sprache des Titels:
Englisch
Original Kurzfassung:
Air traffic in Europe is currently increasing and with it the workload of the air traffic control operators. Furthermore, the number of aircraft and flights in air traffic for a given sector is constrained by the available resources of the air traffic control operators, which means that the workload of the air traffic control operators grows when air traffic is increasing. Air traffic control operators can lose situational awareness if a certain level of air traffic is exceeded. This, in turn, leads to unsafe decisions. In order to prevent the aforementioned risks, a situationally aware system is needed. Therefore, the collaborative research project AISA investigates the use of artificial intelligence in air traffic management; this master?s thesis started as a preliminary study for the AISA project. The AISA project aims to build a situationally aware system to support air traffic control operators in their work. The input that is needed for this situationally aware system are the messages that are exchanged within air traffic management using the Aeronautical Information Exchange Model (AIXM), among other exchange models. In order to enable logical reasoning within a situationally aware system, it is beneficial to map AIXM input to RDF(S), which is a foundational technology for the Semantic Web and symbolic artificial intelligence.
The goal of this thesis is the development of a transformation procedure for the mapping of the AIXM schema to RDFS as well as the development of mapping rules to transform AIXM instance data into RDF statements. These procedures serve as a guideline for performing the mapping from AIXM to RDF(S). Additionally, the thesis also explains the automation process of these procedures that are introduced within this thesis. Therefore, the contribution of this thesis is not only the mapping procedures but also tools that automate those procedures and a description of the adaptions that are necessary to these tools to transform other exchange models in air traffic management in the future.
Sprache der Kurzfassung:
Englisch
Erscheinungsmonat:
9
Erscheinungsjahr:
2021
Notiz zum Zitat:
Masterarbeit am Institut für Wirtschaftsinformatik - Data & Knowledge Engineering, Betreuung: Assoz. Univ.-Prof. Mag. Dr. Christoph G. Schütz, unter Anleitung von Dr. Bernd Neumayr
Forschungs-