SISel: Aviation Safety Powered by Semantic Technologies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00314132" target="_blank" >RIV/68407700:21230/17:00314132 - isvavai.cz</a>
Result on the web
<a href="https://daz2017.kiv.zcu.cz/data/DaZ2017-Sbornik-final.pdf" target="_blank" >https://daz2017.kiv.zcu.cz/data/DaZ2017-Sbornik-final.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
SISel: Aviation Safety Powered by Semantic Technologies
Original language description
Aviation safety is a complex domain with a potential of big losses in human lives and property. It encompasses not only media-followed accidents, but also minor incidents, regulation violations and, most importantly, their prevention. It is necessary to constantly monitor and improve the safety. In this paper, we show how we built SISel - a safety intelligence system based on a conceptual description of the domain. Semantic technologies played a key role in the development of this system – the conceptual model is based on the Unified Foundational Ontology, the data is stored in an RDF triple store and accessed using the ontological persistence framework JOPA. The system is already deployed at the Czech Civil Aviation Authority, where it is used to gather and analyze safety data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TB0400MD010" target="_blank" >TB0400MD010: Creating a pilot plant national system of collection, analysis and evaluation of data needed for regulatory supervision of organizations of civil aviation pursuant to Commission Regulation (EU) no. 965/2012 Annex II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Data a znalosti 2017
ISBN
978-80-261-0720-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
77-82
Publisher name
Západočeská univerzita v Plzni
Place of publication
Plzeň
Event location
Plzeň
Event date
Oct 5, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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