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dc.contributor.authorPetrák, Josef
dc.contributor.editorSteinberger, Josef
dc.contributor.editorZíma, Martin
dc.contributor.editorFiala, Dalibor
dc.contributor.editorDostal, Martin
dc.contributor.editorNykl, Michal
dc.identifier.citationSTEINBERGER, 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.cs
dc.format5 s.cs
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.subjectpřekážky v dopravěcs
dc.subjectpropojené údajecs
dc.subjectpokročilý cestovní informační systémcs
dc.titleMinimal transportation disruptions model and ontologies for modelling of disruptive eventsen
dc.typekonferenční příspěvekcs
dc.description.abstract-translatedCarriers 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.en
dc.subject.translatedtransportation disruptionsen
dc.subject.translatedlinked dataen
dc.subject.translatedadvanced traveller information systemen
Appears in Collections:Data a znalosti 2017
Data a znalosti 2017

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/26348

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