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#annif

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Osma Suominen<p>Version 1.3 of the automated subject subject indexing tool <a href="https://sigmoid.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a> has been released!</p><p>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.</p><p><a href="https://github.com/NatLibFi/Annif/releases/tag/v1.3.0" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/NatLibFi/Annif/rele</span><span class="invisible">ases/tag/v1.3.0</span></a></p><p><a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://sigmoid.social/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://sigmoid.social/tags/code4lib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>code4lib</span></a> <a href="https://sigmoid.social/tags/libraries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>libraries</span></a> <a href="https://sigmoid.social/tags/subjectindexing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>subjectindexing</span></a> <a href="https://sigmoid.social/tags/SKOS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SKOS</span></a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://sigmoid.social/tags/Estonian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Estonian</span></a> <a href="https://sigmoid.social/tags/eesti" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>eesti</span></a></p>
Osma Suominen<p>Mahdollinen ajatusleikki:</p><p>Jos Kansalliskirjastolla olisi oma Mastodon-instanssi, jossa tilit KK:lle yleisesti sekä keskeisille palveluille (Finna, E-kirjasto, Digi, Melinda, Julkaisuarkistot, Koha, FinELib, Finto, Annif/FintoAI...) viestintään ko. palveluihin liittyen (kuten X:ssä ollut) + sillattuna myös Blueskyn puolelle.</p><p>Seuraisitko näitä? Mitä niistä?</p><p><a href="https://sigmoid.social/tags/Kansalliskirjasto" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kansalliskirjasto</span></a> <a href="https://sigmoid.social/tags/SuomiMastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SuomiMastodon</span></a> <a href="https://sigmoid.social/tags/Finna" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Finna</span></a> <a href="https://sigmoid.social/tags/EKirjasto" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EKirjasto</span></a> <a href="https://sigmoid.social/tags/DigiKansalliskirjasto" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigiKansalliskirjasto</span></a> <a href="https://sigmoid.social/tags/Melinda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Melinda</span></a> <a href="https://sigmoid.social/tags/Julkaisuarkistot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Julkaisuarkistot</span></a> <a href="https://sigmoid.social/tags/Koha" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Koha</span></a> <a href="https://sigmoid.social/tags/FinELib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FinELib</span></a> <a href="https://sigmoid.social/tags/Finto" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Finto</span></a> <a href="https://sigmoid.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a> <a href="https://sigmoid.social/tags/FintoAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FintoAI</span></a></p>
SWIB<p>"Introduction to <a href="https://openbiblio.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a> automated indexing tool", a <a href="https://openbiblio.social/tags/SWIB24" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SWIB24</span></a> workshop in the Europe/Africa timeslot (08:00-12:00 UTC on 25 November), facilitated by <span class="h-card" translate="no"><a href="https://sigmoid.social/@osma" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>osma</span></a></span> et al. From the workshop description: "This workshop offers an introduction to the multilingual automated indexing tool, Annif. Participants will gain hands-on experience with Annif by setting it up, training its algorithms with sample data, and generating subject suggestions for new documents." Sign up at <a href="https://forum.swib.org/t/workshop-introduction-to-annif-automated-indexing-tool/139" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">forum.swib.org/t/workshop-intr</span><span class="invisible">oduction-to-annif-automated-indexing-tool/139</span></a></p>
Osma Suominen<p>The automated subject indexing tool <a href="https://sigmoid.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a> version 1.2 has been released! This release adds API and CLI functionality for language detection (based on the <a href="https://sigmoid.social/tags/Simplemma" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Simplemma</span></a> library), automated download of NLTK data packages, full support for Python 3.12, a few bug fixes and upgraded dependencies.</p><p><a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://sigmoid.social/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://sigmoid.social/tags/code4lib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>code4lib</span></a> <a href="https://sigmoid.social/tags/libraries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>libraries</span></a> <a href="https://sigmoid.social/tags/subjectindexing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>subjectindexing</span></a> <a href="https://sigmoid.social/tags/SKOS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SKOS</span></a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> </p><p><a href="https://github.com/NatLibFi/Annif/releases/tag/v1.2.0" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/NatLibFi/Annif/rele</span><span class="invisible">ases/tag/v1.2.0</span></a></p>
Sophie Schneider<p>the (hi)story goes on... We just published machine-readable vocabulary files for the historical classification system "Alter Realkatalog" (ARK) <span class="h-card" translate="no"><a href="https://openbiblio.social/@stabi_berlin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>stabi_berlin</span></a></span> as well as corresponding <a href="https://fedihum.org/tags/annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>annif</span></a> (automatic subject indexing) models, trained on our ARK vocabulary and metadata: </p><p><a href="https://zenodo.org/doi/10.5281/zenodo.13301019" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">zenodo.org/doi/10.5281/zenodo.</span><span class="invisible">13301019</span></a></p><p><a href="https://huggingface.co/collections/SBB/ark-annif-models-66bc8c4dea476bea05a6b491" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">huggingface.co/collections/SBB</span><span class="invisible">/ark-annif-models-66bc8c4dea476bea05a6b491</span></a></p><p><a href="https://fedihum.org/tags/automaticindexing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>automaticindexing</span></a> <a href="https://fedihum.org/tags/subjectindexing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>subjectindexing</span></a> <a href="https://fedihum.org/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://fedihum.org/tags/LIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LIS</span></a> </p><p>From: <span class="h-card" translate="no"><a href="https://mastodon.social/@jrglmn" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>jrglmn</span></a></span><br><a href="https://mastodon.social/@jrglmn/112830851972092378" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mastodon.social/@jrglmn/112830</span><span class="invisible">851972092378</span></a></p>
BASE Search<p><a href="https://openbiblio.social/tags/BASEsearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BASEsearch</span></a> technology update:</p><p>We ripped out the <a href="https://openbiblio.social/tags/DDC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DDC</span></a> classifier created by Mathias Lösch 12 years ago and replaced it with one created by Christoph Broschinski. It is using <a href="https://openbiblio.social/tags/annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>annif</span></a>, the automated subject indexing toolkit.</p><p>DDC classification is what allows users to browse our index by subject area: <a href="https://www.base-search.net/Browse/Dewey" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">base-search.net/Browse/Dewey</span><span class="invisible"></span></a></p><p>Christoph found out that the decision tree based <a href="https://openbiblio.social/tags/Omikuji" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Omikuji</span></a> <a href="https://github.com/tomtung/omikuji" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/tomtung/omikuji</span><span class="invisible"></span></a> outperformed <a href="https://openbiblio.social/tags/ANN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ANN</span></a>-based <a href="https://fasttext.cc/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">fasttext.cc/</span><span class="invisible"></span></a> so we are luckily using explainable AI <a href="https://openbiblio.social/tags/XAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>XAI</span></a>.</p>
nbFünf Punkte von <span class="h-card"><a class="u-url mention" href="https://sigmoid.social/@osma" rel="nofollow noopener noreferrer" target="_blank">@<span>osma</span></a></span> zum verantwortungsbewussten Einsatz von <a class="hashtag" href="https://social.biblioco.de/tag/ki" rel="nofollow noopener noreferrer" target="_blank">#KI</a> durch Kultureinrichtungen und Gedächtnisorganisationen, die wir uns also in den <a class="hashtag" href="https://social.biblioco.de/tag/bibliotheken" rel="nofollow noopener noreferrer" target="_blank">#Bibliotheken</a> <a class="hashtag" href="https://social.biblioco.de/tag/archiven" rel="nofollow noopener noreferrer" target="_blank">#Archiven</a> <a class="hashtag" href="https://social.biblioco.de/tag/museen" rel="nofollow noopener noreferrer" target="_blank">#Museen</a> auch im deutschsprachigen Raum zu Herzen nehmen sollten:<br><br>1. "Use AI to make the world better"<br>KI hat so viele Mängel, dass wir nicht danach streben sollten, diese Technologie als Ersatz für Menschen oder aus reinem Profitinteresse zu betreiben, schließlich haben wir einen öffentlichen Auftrag.<br><br>2. "Use the smallest AI that works"<br>Wenn wir KI anwenden, sollten wir mit dem leichtgewichtigsten Ansatz beginnen, vielleicht genügt dieser schon für den Anwendungszweck und stellt sich möglicherweise sogar als besser und schneller heraus. Das heißt: Zuerst regelbasierte/heuristische Ansätze (good old scripts), dann traditionelles <a class="hashtag" href="https://social.biblioco.de/tag/ml" rel="nofollow noopener noreferrer" target="_blank">#ML</a>, dann <a class="hashtag" href="https://social.biblioco.de/tag/slms" rel="nofollow noopener noreferrer" target="_blank">#SLMs</a> und erst als letzte Option <a class="hashtag" href="https://social.biblioco.de/tag/llms" rel="nofollow noopener noreferrer" target="_blank">#LLMs</a>.<br><br>3. "Don't depend on corporate AI"<br>Wir sollten uns nicht allzu sehr auf KI-Firmen verlassen. Diese haben ihre eigenen Ziele und Wege, denen wir nicht blind folgen sollten. Ein Weg dies zu vermeiden, ist die modulare Entwicklung von KI-Systemen, wodurch z. B. selbst das Foundation Model austauschbar bleibt, sollten sich damit Probleme ergeben.<br><br>4. "Evaluate &amp; Create data sets"<br>Wir sollten die eingesetzte KI stets evaluieren und für diesen Zweck auch Datasets zur Hand haben.<br>Die häufigsten Fragen zu LLMs sind meist ziemlich pessimistisch zu beantworten: Ja, sie sind biased, ja, sie halluzinieren, wir können ihnen nicht trauen und wenn unsere Sprache oder Kultur nicht die englische ist, wird es zu Problemen kommen. Die Trainingsdaten der meisten Modelle sind enorm biased, auch weil sie auf Content aus mehrheitlich westlichen Ländern basieren. <br>Um sich hier besser zurecht zu finden, gibt es Vergleichstabellen oder Benchmarks. Im Rahmen von <a class="hashtag" href="https://social.biblioco.de/tag/annif" rel="nofollow noopener noreferrer" target="_blank">#Annif</a> wurde eine Metadaten Extraction Model Evaluation angefertigt oder für den Vergleich von LLMs gibt es das LMSYS Chatbot Arena Leaderboard.<br><br>5. "Be open and transparent"<br>Wir sollten alles, was wir mit KI machen, so offen und transparent gestalten, wie möglich. Das bedeutet: Veröffentlichung von Code, Datasets und KI-Modellen auf offenen Plattformen wie Git-Repositorien oder HuggingFace sowie die Bereitstellung von Dokumentation und Tutorials zur Nutzung dieser.<br><br>👉 Suominen, Osma (National Library of Finland). (2024). Building Civilized AI. AI Sauna, 6 May 2024. <a href="https://yewtu.be/watch?v=oT8FP1JH5vE&amp;t=1322" rel="nofollow noopener noreferrer" target="_blank">https://yewtu.be/watch?v=oT8FP1JH5vE&amp;t=1322</a><br><br><a class="hashtag" href="https://social.biblioco.de/tag/kiinbibliotheken" rel="nofollow noopener noreferrer" target="_blank">#KIinBibliotheken</a> <a class="hashtag" href="https://social.biblioco.de/tag/chatgpt" rel="nofollow noopener noreferrer" target="_blank">#ChatGPT</a> <a class="hashtag" href="https://social.biblioco.de/tag/llama" rel="nofollow noopener noreferrer" target="_blank">#LLaMA</a> <a class="hashtag" href="https://social.biblioco.de/tag/generativeki" rel="nofollow noopener noreferrer" target="_blank">#GenerativeKI</a> <a class="hashtag" href="https://social.biblioco.de/tag/machinelearning" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a>
Adrian<p>Seit dem offiziellen Launch von metadaten.community am Mittwoch hat sich die Anzahl der offenen Dienste und Softwaretools in der Kategorie "Softeware &amp; Tools" bereits verdoppelt. So gibt es nun auch die Möglichkeit, sich über <a href="https://openbiblio.social/tags/OpenRefine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenRefine</span></a>, <a href="https://openbiblio.social/tags/Wikidata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Wikidata</span></a>, <a href="https://openbiblio.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a> und <a href="https://openbiblio.social/tags/Catmandu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Catmandu</span></a> auszutauschen, Erfahrungen zu teilen oder Fragen zu stellen. Die Beiträge werden von Leuten gelesen, die sich mit den Tools auskennen und weiterhelfen können.</p><p><a href="https://metadaten.community/c/software-und-tools/5" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">metadaten.community/c/software</span><span class="invisible">-und-tools/5</span></a></p><p><a href="https://openbiblio.social/tags/Metadaten" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Metadaten</span></a></p>
Argie<p><a href="https://openbiblio.social/tags/swib23" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>swib23</span></a> Tired of doing subject indexing manually? <a href="https://openbiblio.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a> helps! Do you want to query heterogeneous Linked Data sources? Lift your cataloguing system to the next level using BIBFRAME? transform bibliographic data into other formats with Metafacture? and manage those processes comfortably using a tool called Nightwatch?</p><p>Check out our workshops at SWIB23! Registration is open!</p><p><a href="https://swib.org/swib23/programme.html" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">swib.org/swib23/programme.html</span><span class="invisible"></span></a></p><p>We will meet in lovely lively autumnal Berlin from September 11 to 13 at the Staatsbibliothek.</p>
Osma Suominen<p>The automated subject indexing tool <a href="https://sigmoid.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a> has reached version 1.0 after six years of development!</p><p>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.</p><p><a href="https://github.com/NatLibFi/Annif/releases/tag/v1.0.0" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/NatLibFi/Annif/rele</span><span class="invisible">ases/tag/v1.0.0</span></a></p><p><a href="https://sigmoid.social/tags/libraries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>libraries</span></a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>classification</span></a> <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://sigmoid.social/tags/subjectindexing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>subjectindexing</span></a> <a href="https://sigmoid.social/tags/SKOS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SKOS</span></a> <a href="https://sigmoid.social/tags/code4lib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>code4lib</span></a></p>
Osma Suominen<p><span class="h-card"><a href="https://sigmoid.social/@lysander07" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>lysander07</span></a></span> <span class="h-card"><a href="https://mas.to/@vrandecic" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>vrandecic</span></a></span> One thing I wondered about - you came to the conclusion that ChatGPT stores knowledge separately for every language. I don't think that's entirely true. For example, I asked ChatGPT in Estonian about a project of mine (<a href="https://sigmoid.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a>) which is not, AFAICT, described anywhere on the web in that language. But it was able to provide an answer, in Estonian language, that was mostly correct. So it had some sort of internal representation which it could express in Estonian on the fly.</p>
Osma Suominen<p>Automated subject indexing tool <a href="https://sigmoid.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a> 0.60 has been released! Many Web UI changes, improved multilingual support, code clarity and maintenance... <a href="https://github.com/NatLibFi/Annif/releases/tag/v0.60.0" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/NatLibFi/Annif/rele</span><span class="invisible">ases/tag/v0.60.0</span></a></p>
Nico Wagner<p>Nach drei Jahren Projektarbeit ist das neue System zur automatischen Inhaltserschließung an der <a href="https://openbiblio.social/tags/DNB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DNB</span></a> in Betrieb. Das System basiert auf dem Projekt <a href="https://openbiblio.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a>, das an der Finnischen Nationalbibliothek entwickelt wird.</p><p>Mehr Infos unter:</p><p><a href="https://blog.dnb.de/erschliessungsmaschine-gestartet/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blog.dnb.de/erschliessungsmasc</span><span class="invisible">hine-gestartet/</span></a></p><p><a href="https://openbiblio.social/tags/annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>annif</span></a> <a href="https://openbiblio.social/tags/ki" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ki</span></a></p>
SWIB<p>We are trying out a new format at <a href="https://openbiblio.social/tags/SWIB21" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SWIB21</span></a>: Boothes.</p><p>Get into conversation with maintainers or power users of free software tools like OpenRefine, Metafacture, <span class="h-card"><a href="https://openbiblio.social/@skohub" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>skohub</span></a></span> or take part in an <a href="https://openbiblio.social/tags/Annif" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Annif</span></a> hackathon.</p><p>See list of boothes or offer one by yourself: <a href="https://pad.gwdg.de/swib21-boothes#" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">pad.gwdg.de/swib21-boothes#</span><span class="invisible"></span></a></p>