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International Semantic Web Conference

ISWC 2020: The Semantic Web – ISWC 2020 pp 482–498Cite as

A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12507))

Abstract

Because radio spectrum is a finite resource, its usage and sharing is regulated by government agencies. These agencies define policies to manage spectrum allocation and assignment across multiple organizations, systems, and devices. With more portions of the radio spectrum being licensed for commercial use, the importance of providing an increased level of automation when evaluating such policies becomes crucial for the efficiency and efficacy of spectrum management. We introduce our Dynamic Spectrum Access Policy Framework for supporting the United States government’s mission to enable both federal and non-federal entities to compatibly utilize available spectrum. The DSA Policy Framework acts as a machine-readable policy repository providing policy management features and spectrum access request evaluation. The framework utilizes a novel policy representation using OWL and PROV-O along with a domain-specific reasoning implementation that mixes GeoSPARQL, OWL reasoning, and knowledge graph traversal to evaluate incoming spectrum access requests and explain how applicable policies were used. The framework is currently being used to support live, over-the-air field exercises involving a diverse set of federal and commercial radios, as a component of a prototype spectrum management system.

Approved for public release (reference number: 88ABW-2020-1535).

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Notes

  1. 1.

    http://bit.ly/FCC_AWS.

  2. 2.

    http://ntia.doc.gov.

  3. 3.

    http://fcc.gov.

  4. 4.

    http://bit.ly/NTIA_Redbook.

  5. 5.

    http://bit.ly/FCC_5G.

  6. 6.

    http://nationalspectrumconsortium.org.

  7. 7.

    http://bit.ly/Census_shapefiles.

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Acknowledgement of Support and Disclaimer

This work is funded in support of National Spectrum Consortium (NSC) project number NSC-17-7030. Any opinions, findings and conclusions or recommendations expressed in this material are those the authors and do not necessarily reflect the views of AFRL.

Author information

Authors and Affiliations

  1. Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY, USA

    Henrique Santos, Alice Mulvehill, John S. Erickson, Jamie P. McCusker, Minor Gordon, Owen Xie, Samuel Stouffer & Deborah L. McGuinness

  2. The Rensselaer Institute for Data Exploration and Applications, Troy, NY, USA

    John S. Erickson

  3. Memory Based Research LLC, Pittsburgh, PA, USA

    Alice Mulvehill

  4. Capraro Technologies Inc., Utica, NY, USA

    Gerard Capraro

  5. LGS Labs, CACI International Inc., Florham Park, NJ, USA

    Alex Pidwerbetsky, John Burgess & Allan Berlinsky

  6. Air Force Research Laboratory, Rome, NY, USA

    Kurt Turck & Jonathan Ashdown

Authors
  1. Henrique Santos
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  2. Alice Mulvehill
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  3. John S. Erickson
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  4. Jamie P. McCusker
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  5. Minor Gordon
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  6. Owen Xie
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  7. Samuel Stouffer
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  8. Gerard Capraro
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  9. Alex Pidwerbetsky
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  10. John Burgess
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  11. Allan Berlinsky
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  12. Kurt Turck
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  13. Jonathan Ashdown
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  14. Deborah L. McGuinness
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Corresponding author

Correspondence to Henrique Santos .

Editor information

Editors and Affiliations

  1. University of Edinburgh, Edinburgh, UK

    Jeff Z. Pan

  2. University of Liverpool, Liverpool, UK

    Valentina Tamma

  3. University of Bari, Bari, Italy

    Claudia d’Amato

  4. University of California, Santa Barbara, Santa Barbara, CA, USA

    Krzysztof Janowicz

  5. California State University, Long Beach, Long Beach, CA, USA

    Bo Fu

  6. Vienna University of Economics and Business, Vienna, Austria

    Axel Polleres

  7. Rensselaer Polytechnic Institute, Troy, NY, USA

    Oshani Seneviratne

  8. Massachusetts Institute of Technology, Cambridge, MA, USA

    Lalana Kagal

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Santos, H. et al. (2020). A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation. In: Pan, J.Z., et al. The Semantic Web – ISWC 2020. ISWC 2020. Lecture Notes in Computer Science(), vol 12507. Springer, Cham. https://doi.org/10.1007/978-3-030-62466-8_30

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  • DOI: https://doi.org/10.1007/978-3-030-62466-8_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62465-1

  • Online ISBN: 978-3-030-62466-8

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