Tootfinder

Opt-in global Mastodon full text search. Join the index!

@mia@hcommons.social
2025-11-08 11:40:01

#MuseTech folk, there's a proposal for 'exhibitions' on wikidata that could probably use your input, especially if you've ever worked on a 'what's on' site and know the complexities of exhibition data! Overview page:

@awinkler@openbiblio.social
2025-10-01 13:42:34
Content warning:

As there's the #Wikidata Embedding Project now (wikidata.org/wiki/Wikidata:Emb), are there any plans …

@vrandecic@mas.to
2025-11-02 02:48:07

Wikidata Workshop at ISWC Session 1
#wikidata #iswc

Hideaki Takeda: Wikidatacon as a knowledge base
Diego Pizarro: DataQuest: Web Augmentation with Wikidata
Betty Chrismartin: Wikidata as a Global-Scale Knowledge Graph for Human Resource Management
@awinkler@openbiblio.social
2025-10-01 13:42:34
Content warning:  

As there's the #Wikidata Embedding Project now (wikidata.org/wiki/Wikidata:Emb), are there any plans …

@seav@en.osm.town
2025-11-04 10:36:55

#30DayMapChallenge 🗺️ Day 4️⃣: My data
Here is a hexbinned map of the over 1600 #Wikidata items I’ve created that have coordinates in the #Philippines 🇵🇭. The vast majority of these are items o…

Map of the Philippines as a grid of hexagonal cells with a radius of around 10 km and where the cell’s color indicate number of items, ranging from deep blue (0) to bright yellow (high value). The brightest cells are located around Manila.
@vrandecic@mas.to
2025-10-29 18:38:22

Wikidata has been recognized as a digital public good by the UN-endorsed Digital Public Good Association. Happy 13th birthday, Wikidata! I'm so proud of this teenager.
#wikidata #publicgood #digitalpublicgood

Wikidata has been recognized as a digital public good
@Techmeme@techhub.social
2025-10-01 10:51:03

Wikimedia Deutschland launches the Wikidata Embedding Project, a vector-based semantic search database with nearly 120M entries, to make data accessible to AI (Russell Brandom/TechCrunch)
techcrunch.com/2025/10/01/new-

New project makes Wikipedia data more accessible to AI | TechCrunch
A new database will make Wikipedia's wealth of knowledge more accessible to AI models.

@arXiv_csHC_bot@mastoxiv.page
2025-08-20 07:35:59

Data Work in Memory Institutions: Why and How Information Professionals Use Wikidata
Riya Sinha, Amelia Acker, Hanlin Li
arxiv.org/abs/2508.13388

Data Work in Memory Institutions: Why and How Information Professionals Use Wikidata
Wikidata, an open structured database and a sibling project to Wikipedia, has recently become an important platform for information professionals to share structured metadata from their memory institutions, organizations that maintain public knowledge and cultural heritage materials. While studies have investigated why and how peer producers contribute to Wikidata, the institutional motivations and practices of these organizations are less understood. Given Wikidata's potential role in linking …

@hellotest@ohai.social
2025-09-02 07:15:47

My contributions in Wikidata:
#Wikidata

@awinkler@openbiblio.social
2025-11-06 09:17:45
Content warning:

So wie es aussieht, gibt es nur ein Objekt aus Museen im DACH-Raum mit mehr als 500 Edits auf #Wikidata: Die große Welle vor Kanagawa (Q252485), gefolgt von der Venus von Willendorf (Q131397) mit 323 Edits und Klimts Kuss (Q698487, 315 Edits)

User:MatthiasKabel, CC BY-SA 3.0 <http://creativecommons.org/licenses/by-sa/3.0/>, via Wikimedia Commons
@shoppingtonz@mastodon.social
2025-09-09 06:20:06

ENOUGH
The fediverse is chaotic, believe it or not...and we still haven't included anything Wikidata-like in this system...
MEANING...
we are not getting data...
MEANING
we are no be better than the MAGA folks
WHO GOT NO DATA
...usually
OR FALSIFY DATA
...usually...ok but sure here we are better...at least we are HUMAN and behave human like to other humen!
I realize when I'm a replyguy and try to limit the behavior = insert…

@awinkler@openbiblio.social
2025-10-06 17:46:49
Content warning:

Winfried Bergmeyer von der Internationalen Computerspielesammlung erwähnt auf der #HDoku25 dass sie bei der Erschließung ihrer Spiele immer auch auf #Wikidata verweisen. Beeindruckend, welche Mengen an Computerspielen dort nachgewiesen sind: über 170k Spiele (

@arXiv_csCL_bot@mastoxiv.page
2025-09-19 10:34:31

Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts
Alessandra Stramiglio, Andrea Schimmenti, Valentina Pasqual, Marieke van Erp, Francesco Sovrano, Fabio Vitali
arxiv.org/abs/2509.14943

Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts
Text Implicitness has always been challenging in Natural Language Processing (NLP), with traditional methods relying on explicit statements to identify entities and their relationships. From the sentence "Zuhdi attends church every Sunday", the relationship between Zuhdi and Christianity is evident for a human reader, but it presents a challenge when it must be inferred automatically. Large language models (LLMs) have proven effective in NLP downstream tasks such as text comprehension and infor…

@awinkler@openbiblio.social
2025-09-22 07:09:52
Content warning:

It took me some time to make sense of the paragraph on how to remove statements using #quickstatements here: wikidata.org/wiki/Help:QuickSt

SPARQL Code Snippet from Wikidata Query Service SELECT ?prefix ?qsStatementID WHERE { ?item p:PXXX ?s . # add more constraints here to get statements you want to remove BIND ( ("-STATEMENT") AS ?prefix ) BIND ( REPLACE(STR(?s), "http://www.wikidata.org/entity/statement/", "") AS ?statementID ) BIND ( REPLACE(STR(?item), "http://www.wikidata.org/entity/", "") AS ?qid) BIND ( REPLACE(?statementID, CONCAT(?qid, "-"), "") AS ?strippedStatementID ) BIND ( CONCAT(?qid, "$", ?strippedS…
@awinkler@openbiblio.social
2025-11-05 08:07:49
Content warning:

Gestern kam im #SPARQL-Workshop auf, wieso man überhaupt noch den #WDQS-Service benutzen sollte und nicht gleich den performanteren #wikidata-Endpunkt von

@hellotest@ohai.social
2025-09-02 07:15:47

My contributions in Wikidata:
#Wikidata

@awinkler@openbiblio.social
2025-10-28 21:18:56
Content warning:

Another very simple gadget script for #wikidata: Show link to ttl representation next to the item title. When writing #SPARQL queries it's often helpful to look at the ttl serialization of the RDF. I usually open the devtools & look for the ttl EntityData link. The script (just add the l…

screenshot snippet showing the ttl link next to an wikidata item q id
@awinkler@openbiblio.social
2025-10-21 04:59:10
Content warning:

collections in #wikidata: #sparql

@awinkler@openbiblio.social
2025-11-04 12:00:47
Content warning:

Die Folien des @… #SPARQL-Workshops von heute Vormittag sind online: doi.org/10.5281/zenodo.17368…

From Zero to SPARQL. Eine Einführung in die Abfrage von Wissensgraphen (Schwerpunkt Wikidata)
Folien zum digiS-Workshop zu SPARQL.

@awinkler@openbiblio.social
2025-08-27 09:15:46

is this the new #wikidata timeout error message or is it different from the usual one?

@awinkler@openbiblio.social
2025-10-27 20:29:07
Content warning:

Very useful script User:Inductiveload/scripts/ShowQsAndPs.js shows Q and P IDs in #Wikidata. Using chatGPT it took me 10 seconds to add clickable copy buttons that allow me to store the IDs in the clipboard (User:Awinkler3/scripts/ShowCopyableQsAndPs.js)

@awinkler@openbiblio.social
2025-10-27 07:18:29
Content warning:

#Wikidata-Items zu Objekten der #BerlinischeGalerie, die in den letzten 30 Tagen geändert wurden: w.wiki/FpVE

@awinkler@openbiblio.social
2025-08-22 20:02:52

#SPARQL -Spielerei: Die Gemälde der Berliner Gemäldegalerie nach Fläche geordnet: qlever.cs.uni-freiburg.de/wiki (Ausführungszeit 166ms, im WDQS landet die Anfrage im …

@awinkler@openbiblio.social
2025-09-24 12:31:36
Content warning:

@… presenting his paper "Cite, preserve, connect – Wikidata as a metadata layer for a Neo-Latin collection" at "Digital Neo-Latin studies: ideas and perspectives" at Aarhus. Slides are available at

@awinkler@openbiblio.social
2025-09-21 14:23:02
Content warning:

Ich ergänze gerade wieder einige #neulatein​ische Autoren in #wikidata. Dabei besonders nützlich das Tool von @… , mit dem man rasch…

@awinkler@openbiblio.social
2025-10-17 09:25:18
Content warning:

regarding the #wikidata #embedding project: Are the actual embeddings anywhere available?

@awinkler@openbiblio.social
2025-10-15 11:39:57
Content warning:

Falls jemand die Grundlagen von #SPARQL lernen möchte, sprich: lernen möchte, wie man einfache und nicht so einfache Anfragen an #wikidata und weitere Wissensgraphen stellt, dann ist diese @…

@awinkler@openbiblio.social
2025-10-28 20:11:38
Content warning:

Das #Bröhan-Museum #Berlin hat fast 1300 Werke in der @… , aber nur 8 (!) auf