#subjectindexing — Public Fediverse posts

Tag 2 des KIM Workshops! Es geht 9:30 Uhr los mit:
🧠 Argie Kasprzik & Lakshmi Rajendram Bashyam (ZBW) – AI for automated subject indexing (Englisch)
Wie lässt sich Bibliotheks‑Data für Machine‑Learning nutzbar machen?
#kimws26 #AI #SubjectIndexing #ZBW

Programm: https://wiki.dnb.de/spaces/DINIAGKIM/pages/483431219/KIM+Workshop+2026
BBB Raum: https://meet.academiccloud.de/gl/rooms/c8s-s9e-qgp-ejf/join

Tomorrow, 29th January at 12 noon CET, I will participate in an online panel discussion titled "Artificial Intelligence in Knowledge Organisation", organised by Linnaeus University (Sweden).

"This two-hour panel brings together leading experts to explore how AI transforms knowledge organization in libraries and related cultural heritage institutions as well as research data services."

More info and Zoom link:

https://lnu.se/en/meet-linnaeus-university/current/events/2026/2026-01-29-artificial-intelligence-in-knowledge-organisation/

#AI #KOS #subjectindexing #Annif #SKOS #thesauri

Version 1.4 of the Annif automated subject indexing tool has been released! 🚀

• 3 new corpus formats (JSON, JSONL, CSV) supporting metadata + document IDs
• Include/exclude vocab concepts for better control
• annif index now supports short-text formats
• Faster hyperopt with parallel processing
• tfidf backend refactored (no gensim!)
• REST API improvements & Python 3.13 support

https://github.com/NatLibFi/Annif/releases/tag/v1.4.0

#Annif #NLP #opensource #subjectindexing #machinelearning #code4lib #libraries

Earlier this year, the Annif team participated in the LLMs4Subjects challenge, where our automated indexing tool performed nicely! 🏆 We also got new ideas for Annif development out of the challenge! The SemEval-2025 workshop proceedings are now available 👉 https://aclanthology.org/volumes/2025.semeval-1/
The work continued with the GermEval workshop, focusing on resource efficiency, and we did very well!🥇Check out our GermEval pre-print 👉 https://doi.org/10.48550/arXiv.2508.15877 🤖
#LLMs4Subjects #Annif #SemEval2025 #AI #SubjectIndexing

In the first #LLMs4Subjects challenge at the SemEval-2025 workshop, our #Annif team did very well!

The challenge was to generate good quality subject indexing for bibliographic records in German & English using LLMs. We used LLMs for data preprocessing (translation & synthetic data) and Annif as the main suggestion engine. We ranked 1st and 2nd in quantitative and 4th in qualitative evaluations out of 14 teams!

More info & preprints: https://groups.google.com/g/annif-users/c/b8kVy6XSzB4/m/JE6xBzSuEgAJ

#subjectIndexing #AI #LLM #SemEval

Last November we organized a survey for Annif users, and now the results have been published in the Doria repository of the National Library of Finland:

https://urn.fi/URN:ISBN:978-952-84-1301-1

The report includes an overview of:

- The vocabularies and datasets that are used with Annif
- The workflows that Annif is integrated with
- The problems Annif users are facing

#Annif #AI #opensource #SKOS #libraries #subjectIndexing

Version 1.3 of the automated subject subject indexing tool #Annif has been released!

This release introduces support for the EstNLTK analyzer for better Estonian lemmatization 🇪🇪, optimizations to the MLLM backend, as well as maintenance and bug fixes, including better file permissions in multi-user environments.

https://github.com/NatLibFi/Annif/releases/tag/v1.3.0

#AI #machinelearning #opensource #code4lib #libraries #subjectindexing #SKOS #classification #Estonian #eesti

Are you using #Annif for automated subject indexing or classification? Have you tried it out? Did you look at it but never got around to using it?

If yes, please fill in this Annif user survey: https://forms.gle/P7jGoPMbEAJnD9zw9

We want to hear your thoughts about Annif and how to make it better in the future!

It should only take a few minutes. Deadline is November 30.

#Annif #AI #subjectindexing #libraries #automation #SKOS #code4lib #survey

We will organize an #Annif tutorial session "Introduction to the Annif automated indexing tool" at the #SWIB24 online conference on 25th November 2024, 9-13 CET! It's free, but you need to sign up through the SWIB Discourse platform: https://forum.swib.org/t/workshop-introduction-to-annif-automated-indexing-tool-category/139

The workshop is based on the Annif tutorial materials, created by the National Library of Finland and ZBW: https://github.com/NatLibFi/Annif-tutorial

#AI #machinelearning #code4lib #opensource #libraries #SKOS #subjectindexing #classification

The automated subject indexing tool #Annif version 1.2 has been released! This release adds API and CLI functionality for language detection (based on the #Simplemma library), automated download of NLTK data packages, full support for Python 3.12, a few bug fixes and upgraded dependencies.

#AI #machinelearning #opensource #code4lib #libraries #subjectindexing #SKOS #classification

https://github.com/NatLibFi/Annif/releases/tag/v1.2.0

"An Experiment with the Use of ChatGPT for LCSH Subject Assignment on Electronic Theses and Dissertations" https://doi.org/10.1080/01639374.2024.2394516
#ChatGPT #subjectindexing

"Automating subject indexing at ZBW: making research results stick in practice" by @SemAntiKast: https://doi.org/10.53377/lq.13579 #subjectindexing #ZBW

The automated subject indexing tool #Annif has reached version 1.0 after six years of development!

The 1.0 release signals that it is ready for production use, and that from now on, even more emphasis will be placed on backwards compatible releases to ease future upgrades. Also, there is improved CLI support, preliminary support for Python 3.11, lots of bug fixes and small improvements.

https://github.com/NatLibFi/Annif/releases/tag/v1.0.0

#libraries #machinelearning #classification #AI #subjectindexing #SKOS #code4lib