Title: | Kripke style dynamic model for web annotation with similarity and reliability |
Authors: | Kopecký, Michal Vomlelová, Marta Vojtáš, Peter |
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. 105-109. 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/11025/26345 |
ISBN: | 978-80-261-0720-0 |
Keywords: | extrakce informací;sématická vysvětlivka;Kripkeho dynamická logika |
Keywords in different language: | information extraction;semantic annotation;Kripke dynamic logic |
Abstract in different language: | In 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. |
Rights: | © Západočeská univerzita v Plzni |
Appears in Collections: | Data a znalosti 2017 Data a znalosti 2017 |
Files in This Item:
File | Description | Size | Format | |
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Kopecky.pdf | Plný text | 514,82 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/26345
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