Ontology-Based Data Description and Discovery in a SWIM Environment

Ilko Kovacic; Dieter Steiner; Christoph Georg Schütz; Bernd Neumayr; Felix Burgstaller; Michael Schrefl; Scott Wilson

Ontology-Based Data Description and Discovery in a SWIM Environment

Ilko Kovacic, Dieter Steiner, Christoph Georg Schütz, Bernd Neumayr, Felix Burgstaller, Michael Schrefl, Scott Wilson

Institute of Business Informatics - Data and Knowledge Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

ATM data in the upcoming SWIM originates from different authoritative sources (such as Eurocontrol) and is combined and enriched by different data providers (such as GroupEAD). It is further filtered, combined and enriched specifically by organizations (Airlines, ANSPs, Manufacturers) and provided to end-users for the accomplishment of specific tasks (such as the data in an EFB for a pilot conducting a specific flight). The relationships between these different data products are hidden in APIs or non-standardized interfaces of web services. This makes the discovery and combination of data products an intricate task requiring intervention of IT personnel. The lack of a common model to describe the contents of data products prevents automatic identification of relevant data products for a specific task.

Original language	English
Title of host publication	Proceedings of the 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS 2017), April 18-20, 2017, Washington D.C., USA
Place of Publication	Best Paper in Track 5 - Special Topics/Other
Publisher	IEEE Computer Society Press
Pages	5A4-1 - 5A4-13
Number of pages	13
Publication status	Published - Apr 2017

Fields of science

102 Computer Sciences
102010 Database systems
102015 Information systems
102016 IT security
102025 Distributed systems
102027 Web engineering
102028 Knowledge engineering
102030 Semantic technologies
102033 Data mining
502050 Business informatics
503008 E-learning

JKU Focus areas

Computation in Informatics and Mathematics
Management and Innovation

Cite this

Kovacic, I., Steiner, D., Schütz, C. G., Neumayr, B., Burgstaller, F., Schrefl, M., & Wilson, S. (2017). 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 (pp. 5A4-1 - 5A4-13). IEEE Computer Society Press.

Kovacic, Ilko ; Steiner, Dieter ; Schütz, Christoph Georg et al. / Ontology-Based Data Description and Discovery in a SWIM Environment. Proceedings of the 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS 2017), April 18-20, 2017, Washington D.C., USA. Best Paper in Track 5 - Special Topics/Other : IEEE Computer Society Press, 2017. pp. 5A4-1 - 5A4-13

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title = "Ontology-Based Data Description and Discovery in a SWIM Environment",

abstract = "ATM data in the upcoming SWIM originates from different authoritative sources (such as Eurocontrol) and is combined and enriched by different data providers (such as GroupEAD). It is further filtered, combined and enriched specifically by organizations (Airlines, ANSPs, Manufacturers) and provided to end-users for the accomplishment of specific tasks (such as the data in an EFB for a pilot conducting a specific flight). The relationships between these different data products are hidden in APIs or non-standardized interfaces of web services. This makes the discovery and combination of data products an intricate task requiring intervention of IT personnel. The lack of a common model to describe the contents of data products prevents automatic identification of relevant data products for a specific task.",

author = "Ilko Kovacic and Dieter Steiner and Sch{\"u}tz, {Christoph Georg} and Bernd Neumayr and Felix Burgstaller and Michael Schrefl and Scott Wilson",

year = "2017",

month = apr,

language = "English",

pages = "5A4--1 -- 5A4--13",

booktitle = "Proceedings of the 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS 2017), April 18-20, 2017, Washington D.C., USA",

publisher = "IEEE Computer Society Press",

}

Kovacic, I, Steiner, D, Schütz, CG, Neumayr, B, Burgstaller, F, Schrefl, M & Wilson, S 2017, 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, Best Paper in Track 5 - Special Topics/Other, pp. 5A4-1 - 5A4-13.

Ontology-Based Data Description and Discovery in a SWIM Environment. / Kovacic, Ilko; Steiner, Dieter; Schütz, Christoph Georg et al.
Proceedings of the 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS 2017), April 18-20, 2017, Washington D.C., USA. Best Paper in Track 5 - Special Topics/Other: IEEE Computer Society Press, 2017. p. 5A4-1 - 5A4-13.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Ontology-Based Data Description and Discovery in a SWIM Environment

AU - Kovacic, Ilko

AU - Steiner, Dieter

AU - Schütz, Christoph Georg

AU - Neumayr, Bernd

AU - Burgstaller, Felix

AU - Schrefl, Michael

AU - Wilson, Scott

PY - 2017/4

Y1 - 2017/4

N2 - ATM data in the upcoming SWIM originates from different authoritative sources (such as Eurocontrol) and is combined and enriched by different data providers (such as GroupEAD). It is further filtered, combined and enriched specifically by organizations (Airlines, ANSPs, Manufacturers) and provided to end-users for the accomplishment of specific tasks (such as the data in an EFB for a pilot conducting a specific flight). The relationships between these different data products are hidden in APIs or non-standardized interfaces of web services. This makes the discovery and combination of data products an intricate task requiring intervention of IT personnel. The lack of a common model to describe the contents of data products prevents automatic identification of relevant data products for a specific task.

AB - ATM data in the upcoming SWIM originates from different authoritative sources (such as Eurocontrol) and is combined and enriched by different data providers (such as GroupEAD). It is further filtered, combined and enriched specifically by organizations (Airlines, ANSPs, Manufacturers) and provided to end-users for the accomplishment of specific tasks (such as the data in an EFB for a pilot conducting a specific flight). The relationships between these different data products are hidden in APIs or non-standardized interfaces of web services. This makes the discovery and combination of data products an intricate task requiring intervention of IT personnel. The lack of a common model to describe the contents of data products prevents automatic identification of relevant data products for a specific task.

UR - http://www.dke.jku.at/research/publications/index.xq

M3 - Conference proceedings

SP - 5A4-1 - 5A4-13

BT - Proceedings of the 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS 2017), April 18-20, 2017, Washington D.C., USA

PB - IEEE Computer Society Press

CY - Best Paper in Track 5 - Special Topics/Other

ER -

Kovacic I, Steiner D, Schütz CG, Neumayr B, Burgstaller F, Schrefl M et al. 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. Best Paper in Track 5 - Special Topics/Other: IEEE Computer Society Press. 2017. p. 5A4-1 - 5A4-13

Ontology-Based Data Description and Discovery in a SWIM Environment

Abstract

Fields of science

JKU Focus areas

Other files and links

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

Cite this

Ontology-Based Data Description and Discovery in a SWIM Environment

Abstract

Fields of science

JKU Focus areas

Other files and links

Projects

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

Cite this