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Next Linked Data for Libraries LD4 Wikidata Affinity Group session (Attn: Please fill out Pre-Participation Survey!) 3 December 2024: We have our next LD4 Wikidata Affinity Group Session on Tuesday, 3 December 2024 at 9 am PT / 12 pm ET / 17:00 UTC / 6 pm CET (Time zone converter). Wikimedian Mahir Morshed is leading a series of four sessions focused on lexicographical data in Wikidata. We are looking forward to learning more about these Wikibase entities! If you anticipate attending the workshop sessions, please fill out a brief survey linked from our Series Etherpad to help us prepare relevant materials for you. You only need to fill it out once, no matter how many sessions you plan to attend. Sessions will be held on November 5, November 19, December 3, and December 17, 2024, at our regular time of 9 am PT / 12 pm ET / 17:00 UTC / 6 pm CET. Event page
Where the data may roam: Bringing Wild West performers to Wikidata. Author Jason Sharp documents their experience adding legendary showman Buffalo Bill to Wikidata.
(Portuguese)Wikidata & OpenRefine - Part of the “Introduction to digital platforms for research” sessions for the Centro Luís Krus of NOVA FCSH. Practical exercises for data reconciliation from the Portuguese Early Music Database using the OpenRefine tool.
Uploading Images From Public Sites - Wikimedia Commons and Wikidata make great bedfellows. Margaret Donald shows how to create Commons categories, create structured data and link categories to Wikidata.
WCNA: LOFESQ Lots of Farmers Empty Silos Quicker: building community through a named entity Wikibase. Experiences of the Smithsonian Libraries and Archives setting up the WikiNames Wikibase instance and breaking down knowledge silos
Guess Image from Pronunciation is an Ordia game that uses lexicographic data in Wikidata and Wikimedia Commons. The game challenges players to match the correct image with the audio pronunciation of what the image depicts.
ABECTO is a tool that compares #RDF data to spot errors and assess completeness. Recent changes to the tool adjust result export for #Wikidata Mismatch Finder to changed format, add reporting of qualifier mismatches to Wikidata Mismatch Finder export, and suppress illegal empty external values in Wikidata Mismatch Finder export (Tweet)
Wikidata Infernal is an API that allows you to infer new facts from Wikidata. It uses a set of rules to infer new facts from existing ones. The generated statements will have qualifiers to indicate the source and method of the inference. Output is an array of statements in JSON/Wikidata format. (blog)
picture of this person doing their job (picture of a person in action, especially for a sportsperson, visual artist, musican, actor. P18 is normally used for portraits)
ISCC (ISCC hash code that identifies a media object based on fuzzy hashing)
OAI formatter (formatter to generate ID compatible with {{Q|2430433}} services)
Open Library Collection (Link to Open Library Collection which contain manually and automaticallly collections of editions and works on certain topics)
scientific illustration (an illustration of this subject to provide a detailed reference for its appearance. It should be ideally tied to the primary literature on the item.)
thesis submitted for (academic degree for which a thesis or dissertation is submitted)
meeting of (subject is a meeting or session of this body (legislature, committee, convention, etc.))
UMC rating (Age rating category as designated by the UAE Media Council (UMC))
WikiProject Taiwan/Amis - collects information related to the Ami culture, including statistics and activity records.
Rwanda - aims to be a central hub for the curation of any and all items (biographical, cultural, geographical, organizational, etc...) relating to Rwanda Rwanda (Q1037)
Wikibase.cloud now allows personal userscripts (phab:T378627)
EntitySchemas: We continued the work on making it possible to search for EntitySchemas by label and aliases when making a statement linking to an EntitySchema.(phab:T375641)
