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Aligning, Interoperating, and Co-executing Air Traffic Control Rules Across PSOA RuleML and IDP

  • Marjolein DeryckEmail author
  • Theodoros MitsikasEmail author
  • Sofia Almpani
  • Petros Stefaneas
  • Panayiotis Frangos
  • Iakovos Ouranos
  • Harold Boley
  • Joost Vennekens
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11784)

Abstract

This paper studies Knowledge Bases (KBs) in PSOA RuleML and IDP, aligning, interoperating, and co-executing them for a use case of Air Traffic Control (ATC) regulations. We focus on the common core of facts and rules in both languages, explaining basic language features. The used knowledge sources are regulations specified in (legal) English, and an aircraft data schema. In the modeling process, inconsistencies in both sources were discovered. We present the discovery process utilizing both specification languages, and highlight their unique features. We introduce three extensions to this ATC KB core: (1) While the current PSOA RuleML does not distinguish the ontology separately from the instance level, IDP does. Hence, we specify a vocabulary-enriched version of ATC KB in IDP for knowledge validation. (2) While the current IDP uses relational modeling, PSOA additionally supports graph modeling. Hence, we specify a relationally interoperable graph version of ATC KB in PSOA. (3) The KB is extended to include optimization criteria to allow the determination of an optimal sequence of more than two aircraft.

Keywords

PSOA RuleML IDP Interoperation Knowledge Base Alignment Co-execution Regulations Air Traffic Control 

Notes

Acknowledgments

The author of the Hellenic Civil Aviation Authority wants to thank his colleagues for discussions about the domain-expert knowledge. Any deficiencies are ours and we make this disclaimer: the described work constitutes an informative computational model of ATC regulations and is not intended for use in real aviation environments. The authors of KU Leuven are partially supported by the Flemish Agency for Innovation and Entrepreneurship (HBC.2017.0039).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Marjolein Deryck
    • 1
    Email author
  • Theodoros Mitsikas
    • 2
    Email author
  • Sofia Almpani
    • 2
  • Petros Stefaneas
    • 2
  • Panayiotis Frangos
    • 2
  • Iakovos Ouranos
    • 3
  • Harold Boley
    • 4
  • Joost Vennekens
    • 1
  1. 1.KU LeuvenSint-Katelijne WaverBelgium
  2. 2.National Technical University of AthensAthensGreece
  3. 3.Hellenic Civil Aviation Authority, Heraklion AirportHeraklionGreece
  4. 4.University of New BrunswickFrederictonCanada

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