Cristin-resultat-ID: 1775288
Sist endret: 17. februar 2020, 13:49
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig artikkel
2019

Matching ontologies for air traffic management: A comparison and reference alignment of the AIRM and NASA ATM ontologies

Bidragsytere:
  • Audun Vennesland
  • Richard M. Keller
  • Christoph G. Schuetz
  • Eduard Gringinger og
  • Bernd Neumayr

Tidsskrift

CEUR Workshop Proceedings
ISSN 1613-0073
e-ISSN 1613-0073
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2019
Publisert online: 2019
Volum: 2536
Sider: 1 - 12

Importkilder

Scopus-ID: 2-s2.0-85078000296

Beskrivelse Beskrivelse

Tittel

Matching ontologies for air traffic management: A comparison and reference alignment of the AIRM and NASA ATM ontologies

Sammendrag

Air traffic management (ATM) relies on the timely exchange of information between stakeholders to ensure safety and efficiency of air traffic operations. In an effort to achieve semantic interoperability within ATM, the Single European Sky ATM Research (SESAR) program has developed the ATM Information Reference Model (AIRM), which individual information exchange models should comply with. An OWL representation of the AIRM – the AIRM Ontology (AIRM-O) – facilitates applications. Independently from the European efforts, the NASA Air Traffic Management Ontology (ATMONTO) has been developed as an RDF/OWL ontology representing ATM concepts to facilitate data integration and analysis in support of NASA aeronautics research. Conceptualization mismatches between the AIRM-O and ATMONTO ontologies – mostly due to different design decisions, but also as a consequence of the different regulatory systems and philosophies underlying ATM in Europe and the United States – pose a challenge to automatic ontology matching algorithms. In this paper, we describe mismatches between AIRM-O and ATMONTO, evaluate performance of automatic matching systems over these ontologies, and provide a manual reference alignment.

Bidragsytere

Audun Vennesland

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS
  • Tilknyttet:
    Forfatter
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Richard M. Keller

  • Tilknyttet:
    Forfatter
    ved NASA Ames Research Center

Christoph G. Schuetz

  • Tilknyttet:
    Forfatter
    ved Johannes Kepler Universität Linz

Eduard Gringinger

  • Tilknyttet:
    Forfatter
    ved Frequentis AG

Bernd Neumayr

  • Tilknyttet:
    Forfatter
    ved Johannes Kepler Universität Linz
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