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BEST - Achieving the BEnefits of SWIM by making smart use of Semantic Technologies

Project duration: June 2016 - May 2018
Project website: http://www.project-best.eu/
Funded by: EU Horizon 2020
Project number: 699298
  
Short description: BEST will determine how semantic technologies can be used effectively to maximise the benefits of adopting SWIM, one of the major results of SESAR. SWIM offers an “information sharing” approach to ATM information management and its adoption offers advantages for better situational awareness and information management. But the full benefits of SWIM can only be achieved if advanced support can be provided for developing smart SWIM-based applications that manage information effectively, and semantic technologies offer a promising way to do that. BEST identifies a set of focused research questions about how to exploit semantic technologies in a practical way in an ATM setting, and will produce concrete results that help address these. The project will experiment with use of semantic technologies with several use cases, and build on that experience to produce guidelines (aimed at practitioners) about how to use ontologies in flexible ways to describe meta-data, and how these can be used in innovative yet scalable ways. BEST envisages use of multiple modular ontologies to maximise flexibility and applicability to specific application scenarios, but within a framework where compliance with the wider requirements of SWIM and the SESAR AIRM can be assured. This involves both technical compliance testing and governance aspects. While BEST is primarily a research-oriented project, it is also designed to ensure relevance to and suitability for ATM operations, through project activities and the involvement of a Reference Group of key stakeholders.

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Project partners: 
Project team: 
Bernd Neumayr - Key Researcher (DKE)
Christoph Schütz - Key Researcher (DKE)
Ilko Kovacic - Junior Researcher (DKE)
Publications: 
I. Kovacic, D. Steiner, C. Schütz, B. Neumayr, F. Burgstaller, M. Schrefl, S. Wilson:
Ontology-Based Data Description and Discovery in a SWIM Environment
In: Proceedings of the 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS 2017), April 18-20, 2017, Washington D.C., USA, IEEE Computer Society Press, 13 pages, peer reviewed, Best Paper in Track 5 - Special Topics/Other, pp. 5A4-1-5A4-13, 2017.
B. Neumayr, E. Gringinger, C. Schütz, M. Schrefl, S. Wilson, A. Vennesland:
Semantic Data Containers for Realizing the Full Potential of System Wide Information Management
In: Proceedings of the 36th Digital Avionics Systems Conference (DASC 2017), September 17-21, 2017, St. Petersburg, Florida, USA, IEEE Press, Online: http://ieeexplore.ieee.org/document/8102002/, peer reviewed, pp. 1-10, 2017.
E. Gringinger, C. Fabianek, C. Schütz, B. Neumayr, M. Schrefl, A. Vennesland, S. Wilson:
The Semantic Container Approach: Techniques for ontology-based data description and discovery in a decentralized SWIM knowledge base
In: Proceedings of the SESAR Innovation Days 2018 (SID 2018), December 3-7, 2018, Salzburg, Austria, 7 pages, Download URL: https://www.sesarju.eu/sites/default/files/documents/sid/2018/papers/SIDs_2018_paper_78.pdf, 2018.
E. Gringinger, C. Fabianek, C. Schütz, J. Stöbich, B. Neumayr, M. Schrefl:
A Proof-of-Concept Implementation of a Semantic Container Management System for Air Traffic Management
In: Proceedings of the EDAW 2018 Posters and Demonstrations Session co-located with 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), November 12-16, 2018, Nancy, France, Editors: Philipp Cimiano, Olivier Corby, CEUR digital Workshop Proceedings (Vol. 2262), ceur-ws.org, ISSN 1613-0073, pp. 69-72, Download PDF: http://ceur-ws.org/Vol-2262/ekaw-demo-25.pdf, 2018.
E. Gringinger, C. Schütz, B. Neumayr, M. Schrefl, S. Wilson:
Towards a value-added Information Layer for SWIM: The Semantic Container Approach
In: Proceedings of the IEEE Integrated Communications, Navigation and Surveillance Conference (ICNS 2018), April 10-12, 2018, Westin Washington Dulles Airport, Herndon, VA, U.S.A., 14 pages, ISBN: 978-1-5386-5680-8, DOI:10.1109/ICNSURV.2018.8384870, 2018. The publication received best paper award.
G. Brataas, B. Neumayr, C. Schütz, A. Vennesland:
Towards Scalability Guidelines for Semantic Data Container Management
In: Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (ICPE 2018), April 9-13, 2018, Berlin, Germany, ACM Press, ISBN 978-1-4503-5629-9, DOI: 10.1145/3185768.3186302, pp. 17-20, 2018.
C. Schütz, B. Neumayr, M. Schrefl, E. Gringinger, S. Wilson:
Semantics-Based Summarization of ATM Data to Manage Information Overload in Pilot Briefings
In: Proceedings of the 31st Congress of the International Council of the Aeronautical Sciences (ICAS 2018), September 09-14, 2018, Belo Horizonte, Brazil, Download URL: http://icas.org/ICAS_ARCHIVE/ICAS2018/data/papers/ICAS2018_0763_paper.pdf, 2018.
A. Vennesland, J. Gorman, S. Wilson, B. Neumayr, C. Schütz:
Automated Compliance Verification in ATM Using Principles from Ontology Matching
In: Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018), Volume 2: KEOD, September 18-20, 2018, Seville, Spain, SciTePress, ISBN 978-989-758-330-8, 2018, pp. 39-50, The publication received Best Paper Award, 2018.
C. Schütz, B. Neumayr, M. Schrefl, E. Gringinger, A. Vennesland, S. Wilson:
The Case for Contextualized Knowledge Graphs in Air Traffic Management
In: Proceedings of the 1st International Workshop on Contextualized Knowledge Graphs (CKG 2018), co-located with the 17th International Semantic Web Conference (ISWC 2018), October 8-12, 2018, Monterey, CA, U.S.A., CEUR Workshop Proceedings, 2018.
C. Schütz, B. Neumayr, M. Schrefl:
Techniques for ontology-based data description and discovery in a decentralized SWIM knowledge base
Technical Report, Projekt BEST, Deliverable 2.1
C. Schütz, B. Neumayr, M. Schrefl, E. Gringinger:
Ontology-based techniques for data distribution and consistency management in a SWIM environment
Technical Report, Projekt BEST, Deliverable 2.2
A. Vennesland, B. Neumayr, C. Schütz, A. Savulov:
Experimental ontology modules formalising concept definition of ATM data
Technical Report, Projekt BEST, Deliverable 1.1
A. Vennesland, B. Neumayr, C. Schütz, E. Gringinger:
AIRM Compliance Validator
Technical Report, Projekt BEST, Deliverable 1.2
G. Brataas, B. Neumayr, C. Schütz, A. Vennesland:
Scalability Guidelines for Semantic SWIM-based Applications
Technical Report, Projekt BEST, Deliverable 5.1
E. Gringinger, B. Neumayr, C. Fabianek, A. Savulov:
Prototype Use Case Scenarios – BEST Deliverable D3.1
Technical Report, Projekt BEST, Deliverable 3.1
C. Schütz, B. Neumayr, M. Schrefl, E. Gringinger:
Semantics-based summarisation of ATM information: Managing information overload in pilot briefings using semantic data containers
In: The Aeronautical Journal, Cambridge University Press, Royal Aeronautical Society, ISSN 0001-9240, DOI: https://doi.org/10.1017/aer.2019.74, open access, 27 pages, 2019.