SWIB26 programme published, registration open

From: Kasprzik, Argie <000001875bd8a333-dmarc-request_at_nyob>
Date: Mon, 14 Sep 2026 08:57:29 +0000
To: CODE4LIB_at_LISTS.CLIR.ORG
Hello everyone,

this week we published the programme for the 18th Semantic Web in Libraries Conference (SWIB). SWIB26 will be happening 16–18 November, and you can now register for the online conference.

We are very happy for having Mark Dingemanse as keynote speaker. In addition to 13 presentations, we will have five hands-on workshops spread over three time slots and a community session about the SWIB AI policy (to be discussed).

* see the full programme at https://forum.swib.org/t/swib26-programme/1728

* register for the live stream and conference chat at https://forum.swib.org/t/swib26-registration/1747


Feel free to spread this invitation far and wide!

The annual SWIB conference focuses on Linked Open Data (LOD) in libraries and related organizations. It is well established as an event where IT staff, developers, librarians, and researchers from all over the world meet and mingle and learn from each other. The topics of talks and workshops at SWIB revolve around opening data, linking data and creating tools and software for LOD production scenarios. These areas of focus are supplemented by presentations of research projects in applied sciences, industry applications, and LOD activities in other areas.

Looking very much forward to seeing you at SWIB26!

On behalf of the programme committee:
Adrian Pohl & Argie Kasprzik

Website/Forum: https://swib.org/swib26

Hashtag: #swib26
Fediverse: https://openbiblio.social/@swib

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Dr. Argie Kasprzik (pronouns: they/their/them|dt: en/ens/em/en)
Theoretical Computer Scientist, Coordination of Automated Subject Indexing

Every person determines their own identity. Please let me know how you would like to be addressed.

Please consider the environment before using (especially corporate) AI functionality to communicate with me.

ZBW – Leibniz-Informationszentrum Wirtschaft
Neuer Jungfernstieg 21, 20354 Hamburg
T: +49 173 3986387 ; E: a.kasprzik_at_zbw.eu<mailto:a.kasprzik_at_zbw.eu>

https://www.zbw.eu/en/about-us/knowledge-organisation/automation-of-subject-indexing-using-methods-from-artificial-intelligence

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Received on Mon Sep 14 2026 - 04:58:32 EDT