Title: SISel: aviation safety powered by semantic technologies
Authors: Ledvinka, Martin
Křemen, Petr
Kostov, Bogdan
Blaško, Miroslav
Citation: STEINBERGER, Josef ed.; ZÍMA, Martin ed.; FIALA, Dalibor ed.; DOSTAL, Martin ed.; NYKL, Michal ed. Data a znalosti 2017: sborník konference, Plzeň, Hotel Angelo 5. - 6. října 2017. 1. vyd. Plzeň: Západočeská univerzita v Plzni, 2017, s. 77-82. ISBN 978-80-261-0720-0.
Issue Date: 2017
Publisher: Západočeská univerzita v Plzni
Document type: konferenční příspěvek
URI: https://www.zcu.cz/export/sites/zcu/pracoviste/vyd/online/DataAZnalosti2017.pdf
ISBN: 978-80-261-0720-0
Keywords: bezpečnost letectví;konceptuální model;ontologie;informační systém
Keywords in different language: aviation safety;conceptual model;ontology;information system
Abstract in different language: 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 pre-vention. It is necessary to constantly monitor and improve the safety. In this pa-per, we show how we built SISel - a safety intelligence system based on a con-ceptual 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 de-ployed at the Czech Civil Aviation Authority, where it is used to gather and an-alyze safety data.
Rights: © Západočeská univerzita v Plzni
Appears in Collections:Data a znalosti 2017
Data a znalosti 2017

Files in This Item:
File Description SizeFormat 
Ledvinka.pdfPlný text497,41 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/26340

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.