An Ontology to Support Brazilian Traffic Flow Management Based on NASA's ATM Reference Model

Luís Antonio de Almeida Rodriguez
José Maria Parente de Oliveira

Instituto Tecnológico de Aeronáutica (ITA)

Event: XIX SITRAER – São José dos Campos, SP, Brasil, October 25–27, 2022
Volume: Proceedings of SITRAER 2022 – Air Transportation Symposium · ISSN 2448-1912
Pages: 43–52
Publisher: Sociedade Brasileira de Pesquisa em Transporte Aéreo (SBTA)
Editors: Giovanna Miceli Ronzani Borille, Rogéria de Arantes Gomes, Evandro José da Silva, Mauro Caetano, Cláudia Azevedo Pereira

Abstract

Time over the past two decades has shown different data models being introduced to try to standardize information for interoperability in the aviation domain. World’s aviation organizations are rushing to maximize the efficiency of data exchange and actual initiatives like SWIM recommend the use of semantic knowledge descriptions to support air-traffic management information systems. The use of ontologies is increasing as a next step in aviation's data structures evolution, describing semantics (concepts, properties and relationships) and being conceived in machine-readable language, able to be accessed via programming languages. This paper presents an OWL-DL Ontology to support Air Traffic Flow Management based on NASA’s ATM (Air Traffic Management) reference model. The original RDF files from NASA’s release are the core of the implemented ontology, which was built to adapt NASA’s taxonomy to Brazilian aeronautical laws and rules. Furthermore, the paper presents a set of experimental results which were carried out to manipulate the Brazilian customized ontology by using Python language and making CRUD (Create, Read, Update, and Delete) operations. In addition, the experiments show how to fill out and persist a flight plan form to simulate a pilot and an aeronautical information system interacting for a flight authorization.

Keywords: Ontology; NASA’s atmontocore; machine-readable language; OWL

How to cite

ABNT

RODRIGUEZ, Luís Antonio de Almeida; OLIVEIRA, José Maria Parente de. An Ontology to Support Brazilian Traffic Flow Management Based on NASA's ATM Reference Model. In: SIMPÓSIO DE TRANSPORTE AÉREO, 19., 2022, São José dos Campos. Anais [...]. São José dos Campos: SBTA, 2022. p. 43-52. ISSN 2448-1912. Disponível em: https://sitraer-sbta.org/anais-2022-sit178.html.

APA

Rodriguez, L. A. A., & Oliveira, J. M. P. (2022). An Ontology to Support Brazilian Traffic Flow Management Based on NASA's ATM Reference Model. In G. M. R. Borille, R. A. Gomes, E. J. Silva, M. Caetano, & C. A. Pereira (Eds.), Proceedings of SITRAER 2022 – Air Transportation Symposium (pp. 43–52). SBTA. https://sitraer-sbta.org/anais-2022-sit178.html

BibTeX

@inproceedings{rodriguez2022an,
  author = {Rodriguez, Luís Antonio de Almeida and Oliveira, José Maria Parente de},
  title = {{An Ontology to Support Brazilian Traffic Flow Management Based on NASA's ATM Reference Model}},
  booktitle = {Proceedings of SITRAER 2022 – Air Transportation Symposium},
  editor = {Borille, Giovanna Miceli Ronzani and Gomes, Rogéria de Arantes and Silva, Evandro José da and Caetano, Mauro and Pereira, Cláudia Azevedo},
  pages = {43--52},
  year = {2022},
  address = {São José dos Campos, SP, Brasil},
  publisher = {Sociedade Brasileira de Pesquisa em Transporte Aéreo (SBTA)},
  issn = {2448-1912},
  url = {https://sitraer-sbta.org/anais-2022-sit178.html}
}