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--- event:2020-06 [2020/06/29 13:46] – hashimotoval
+++ event:2020-06 [2020/09/03 16:30] – fixed one video link beat_estermann
@@ Line 168: / Line 168: @@
 **Does AI Perform Better? – Metadata Enhancement through Deep Learning** by Christian Stuber and Manuel Kocher, students at Bern University of Applied Sciences
-   * [[https://fhgr.webex.com/recordingservice/sites/fhgr/recording/playback/c3098c0cf14845ddb6f9338f400d4be7|Video Recording]] (password: GLAMhack2020)
+   * [[https://vimeo.com/436379493 |Video Recording]]
    * {{ :glam:metadata_enhancement_throuth_deep_learning.pdf |Presentation slides}}
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 ===Panel on Authority Files and Controlled Vocabularies===
 **Wednesday, 3 June 2020, 18:00-19:30 - Panel on Authority Files and Controlled Vocabularies**\\
-The panel participants presented their activities in connection with the publication of authority files and controlled vocabularies as linked open data and shared their future plans in this area. In the ensuing discussion, the panel participants and the members of the audience will discussed current challenges and identified areas for coordination and cooperation.
+The panel participants presented their activities in connection with the publication of authority files and controlled vocabularies as linked open data and shared their future plans in this area. In the ensuing discussion, the panel participants and the members of the audience discussed current challenges and identified areas for coordination and cooperation.
   * Beat Estermann, Bern University of Applied Sciences: **Welcome & Introduction** ([[https://us02web.zoom.us/rec/share/6OxLKaHMzTpOG4HgxnDAAaclAIbuX6a80SkZqKZemB54GLQ_f9AYbBQEoNGGaLfL?startTime=1591200231000|link to video recording]] / [[https://www.slideshare.net/beatestermann/estermann-panel-on-authority-files-3-june-2020/beatestermann/estermann-panel-on-authority-files-3-june-2020|link to slides (1-6)]])
   * Nicola Carboni, University of Zurich, Swiss Art Research Infrastructure: **Resources and methodologies gathered by the Swiss Art Research Infrastructure (SARI) for managing, organising and semantifying reference information**, specifically focusing on the current semantic ecosystem (standards, templates and software) for interlinking and presenting cultural data ([[https://us02web.zoom.us/rec/share/6OxLKaHMzTpOG4HgxnDAAaclAIbuX6a80SkZqKZemB54GLQ_f9AYbBQEoNGGaLfL?startTime=1591200878000|link to video recording]] / {{ :glam:sari_glamhack2020_nc.pdf |link to slides}})
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 .	Discuss the question of how best to structure the harmonization process (~30 minutes) \\
 \\
+[[https://docs.google.com/document/d/1nKQ7Px8Rfi1dIDPzVdl5JRo-YZNpc9B42Xe9F65XGdo/edit|Workshop documentation]]
+\\
+\\
 **Thursday, 4 June 2020, 17:00 - 19:00** \\
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 .	What are the greatest challenges participants experience in the context of Wikidata? (brainstorming / clustering) \\
 .	How are we planning to work together over the coming months? \\
 \\
+[[https://docs.google.com/document/d/1bqshCqYrjye_FeIQBdN4H6q84n2QbQekKVFoGGHJ4og/edit|Workshop Documentation]]
+\\
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