Title: Minimal transportation disruptions model and ontologies for modelling of disruptive events
Authors: Petrák, Josef
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. 36-40. ISBN 978-80-261-0720-0.
Issue Date: 2017
Publisher: Západočeská univerzita v Plzni
Document type: konferenční příspěvek
conferenceObject
URI: https://www.zcu.cz/export/sites/zcu/pracoviste/vyd/online/DataAZnalosti2017.pdf
http://hdl.handle.net/11025/26348
ISBN: 978-80-261-0720-0
Keywords: překážky v dopravě;propojené údaje;pokročilý cestovní informační systém
Keywords in different language: transportation disruptions;linked data;advanced traveller information system
Abstract in different language: Carriers and operators seek effective ways to distribute structured in-formation about transportation disruptions to passengers, drivers and other users of the infrastructure. Transit Alerts, a conceptual application from Some move, utilizes all available means of distribution to deliver timely updates about dis-ruptive events. Apart from REST resources and JavaScript Web API, an inter-linked repository is proposed to support intelligent assistive technologies. Sev-eral ontologies were compared to model the events and share the information from the application repository to third parties in a vendor-independent schema.
Rights: © Západočeská univerzita v Plzni
Appears in Collections:Data a znalosti 2017
Data a znalosti 2017

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