Thanks Giovanni for the update, both the products will further help to enrich 
the Wikimedia Projects.

Best Regards,
Rajeeb.
(U: Marajozkee)
(Sent from my iPhone pardon the brevity).


> On 08-Apr-2021, at 4:00 PM, Giovanna Fontenelle <gfontene...@wikimedia.org> 
> wrote:
> 
> 
> Hello all, 
> 
> 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 Suggestion API.
> 
> 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.
> 
> Best,
> 
> Giovanna Fontenelle (she/her)
> Program Officer; GLAM and Culture 
> Wikimedia Foundation 
> _______________________________________________
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