Thanks Giovanni for the update, both the products will further help to enrich the
(Sent from my iPhone pardon the brevity).
On 08-Apr-2021, at 4:00 PM, Giovanna Fontenelle
This is Giovanna, from the GLAM & Culture team at the Foundation. I'm here to
share some really exciting news with you: the launch of the new Media Search and the Image
Making cultural content more visible
Several product teams at the Foundation are working hard to improve image discovery and
reuse on Wikimedia projects. Two new releases show the potential of these developments for
libraries and cultural institutions. The first is the new Media Search on Wikimedia
Commons, by the Structured Data Across Wikimedia team, and the second is a
proof-of-concept Image Suggestion API, by the Platform Engineering team.
Searching across languages
Media Search (or Special:MediaSearch) is an image-focused interface that makes it easier
to find what you’re looking for on Wikimedia Commons. Most importantly, the search results
are language agnostic. Given a search term like "zonnevlek" (Dutch for
“sunspot”), Media Search won’t just return the one file on Commons that uses that term, it
will search Wikidata for relevant entities and then find all files with that term and any
of its aliases or translations. For the “zonnevlek” example, the number of images returned
increased from one file to more than six hundred files. Media Search will make the
millions of images contributed by libraries and cultural institutions much more accessible
to a broad global audience.
You can try the new search here. It became the default search landing page for anonymous
users on 1 April 2021, and for all users in May 2021.
To increase the search relevance of your files, you should include a descriptive title
and detailed description, use the relevant Commons categories, and add depicts statements
and a caption as Structured Data.
Suggesting images for Wikipedia
The Image Suggestion API is a service that will generate a list of unillustrated articles
for any language version of Wikipedia, and then suggest up to 10 images for placement on
those articles. The API will be powering a planned ‘add an image’ structured task for
newcomers to Wikipedia but could also be used to drive image reuse campaigns, such as
Wikipedia Pages Wanting Photos.
Right now, the API is only a proof of concept and is still being developed. You can try
it at API Documentation and learn more on the MediaWiki page. If you can imagine using
this API in your work with images, share your ideas on the Talk page.
The API uses algorithms that simply aggregate existing information from Wikidata and
Commons, drawing on connections already made by experienced contributors. There are four
main ways that it suggests matches to unillustrated articles:
Look at the Wikidata item for the article. If it has an image (P18), choose that image.
Look at the Wikidata item for the article. If it has a Commons category associated
(P373), choose an image from the category.
Look at the articles about the same topic in other language Wikipedias. Choose a lead
image from those articles.
Search MediaSearch for the title of the article. If an image ranks high enough in the
results, choose that image.
To make your files available to the Image Suggestion API, you should use the relevant
Commons categories and add depicts statements as Structured Data.
Learn more about the benefits of using Structured Data on Commons by reviewing the
updated documentation and joining our April office hours on Monday, 26 April, 3.30-4.30pm
UTC, and on Tuesday, 27 April, 11.00-12.00 UTC.
This was also published in the WMF This month in GLAM newsletter. You can read the rest
of it here.
Hope to see you all during the April office hours.
Giovanna Fontenelle (she/her)
Program Officer; GLAM and Culture
Wikipedia-Library mailing list