Kripke style dynamic model for web annotation with similarity and reliability

dc.contributor.authorKopecký, Michal
dc.contributor.authorVomlelová, Marta
dc.contributor.authorVojtáš, Peter
dc.contributor.editorSteinberger, Josef
dc.contributor.editorZíma, Martin
dc.contributor.editorFiala, Dalibor
dc.contributor.editorDostal, Martin
dc.contributor.editorNykl, Michal
dc.date.accessioned2017-10-09T10:55:00Z
dc.date.available2017-10-09T10:55:00Z
dc.date.issued2017
dc.description.abstract-translatedIn this “visionary contribution” (term from conference organizers) we deal with the web semantization as a (semi) automated process of enriching web data in a way understandable for algorithms. It turns out that similarity and dynamic aspects of web data play a role here. We propose a web data extension by a Kripke style dynamic model to describe this process for future extractions.en
dc.format5 s.cs
dc.format.mimetypeapplication/pdf
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. 105-109. ISBN 978-80-261-0720-0.cs
dc.identifier.isbn978-80-261-0720-0
dc.identifier.urihttp://hdl.handle.net/11025/26345
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjectextrakce informacícs
dc.subjectsématická vysvětlivkacs
dc.subjectKripkeho dynamická logikacs
dc.subject.translatedinformation extractionen
dc.subject.translatedsemantic annotationen
dc.subject.translatedKripke dynamic logicen
dc.titleKripke style dynamic model for web annotation with similarity and reliabilityen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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