Hi everyone!
Next Monday and Tuesday, we have one more GLAM & Culture office hours by
the WMF GLAM team. These ones will be about Structured Data on Commons.
There will be a meeting on *Monday, 26 April, 3.30 pm - 4.30 pm UTC*,
followed by another on *Tuesday, 27 April, 11.00 am - 12.00 pm UTC*.
On the first day, Carly Bogen, the Foundation's Program Manager for
Structured Data, will talk about the new Media Search, Image
Recommendations, and provide updates on the Structured Data Across
Wikimedia project. Jennie Choi, General Manager of Collection Information
for the Metropolitan Museum of Art, will also present her process of batch
uploading Structured Data on Commons.
On the second day, John Sampson Tiberius Cummings, Wikimedian in Residence
at UNESCO, and Alicia Fagerving, Developer at Wikimedia Sverige (WMSE),
will share Wikimedia Sweden's plans with Structured Data, GLAM content, and
Wiki Loves Monuments.
Find the Zoom links to both meetings here
<https://meta.wikimedia.org/wiki/Wikimedia_Foundation_GLAM_team/Office_Hours>
.
Best,
Giovanna Fontenelle (she/her)
Program Officer; GLAM and Culture
Wikimedia Foundation <https://wikimediafoundation.org/>
Hi everyone!
Next Monday and Tuesday, we have one more GLAM & Culture office hours by
the WMF GLAM team. These ones will be about Structured Data on Commons.
There will be a meeting on *Monday, 26 April, 3.30 pm - 4.30 pm UTC*,
followed by another on *Tuesday, 27 April, 11.00 am - 12.00 pm UTC*.
On the first day, Carly Bogen, the Foundation's Program Manager for
Structured Data, will talk about the new Media Search, Image
Recommendations, and provide updates on the Structured Data Across
Wikimedia project. Jennie Choi, General Manager of Collection Information
for the Metropolitan Museum of Art, will also present her process of batch
uploading Structured Data on Commons.
On the second day, John Sampson Tiberius Cummings, Wikimedian in Residence
at UNESCO, and Alicia Fagerving, Developer at Wikimedia Sverige (WMSE),
will share Wikimedia Sweden's plans with Structured Data, GLAM content, and
Wiki Loves Monuments.
Find the Zoom links to both meetings here
<https://meta.wikimedia.org/wiki/Wikimedia_Foundation_GLAM_team/Office_Hours>
.
Best,
Giovanna Fontenelle (she/her)
Program Officer; GLAM and Culture
Wikimedia Foundation <https://wikimediafoundation.org/>
Dear fellow Wiki-brarians,
IFLA's Wikidata Working Group is offering a Train-the-Trainers workshop on
the 21st of April at 15:00 UTC to learn how to host an event to contribute
to Wikidata as part of this year's #1Lib1Ref campaign. More information
about the workshop and a link to register are below.
I hope you'll join us!
Best,
Megs
--
President, Wikimedia New York City
*From:* ifla-l-request(a)iflalists.org <ifla-l-request(a)iflalists.org> *On
Behalf Of *Stacy Allison-Cassin
*Sent:* Thursday, 8 April 2021 17:53
*To:* ifla-l(a)iflalists.org
*Subject:* [IFLA-L] IFLA Wikidata Working Group #1lib1ref Campaign workshop
*1Lib1Ref - Start with adding sources on Wikidata! *
In 2019 IFLA started a working group on Wikidata and Wikibase of motivated
professionals. This group aims to coordinate actions, events and
preparation of documents to leverage Wikidata and Wikibase in support of
documenting collections and support capacity building in linked data,
structured data, and cataloguing work.
>From 15 May to 5 June 2021, the Wikimedia Foundation will again launch
the #1Lib1Ref
campaign <https://meta.wikimedia.org/wiki/The_Wikipedia_Library/1Lib1Ref>
to invite library staff and their audiences to improve the reliability of
sources in Wikipedia.
In order to support those interested in expanding this movement by offering
a multitude of tools to contribute to the Wikipedia #1Lib1Ref campaign
<https://meta.wikimedia.org/wiki/The_Wikipedia_Library/1Lib1Ref>, IFLA’s
Wikidata and Wikibase Working Group offers the possibility for 50
participants to attend a Train-The-Trainers workshop on the 21st of April
at 16:00 CET to learn how to set up an event to contribute to Wikidata
during the campaign period.
We will also provide resources that can help you learn how to edit on
Wikidata, and show the advantages that Wikidata provides for improved
discoverability of library collections.
Details and registration can be found here: https://www.ifla.org/node/93813
For more information on using Wikidata and Wikibase in the context of
professional library work see the IFLA video series featuring work located
at the National Library of Israel, the National Library of Wales, the
Germany National Library, and others on topics such as metadata, equity,
and linked data. All videos are subtitled in French, Spanish, Portuguese,
Arabic, and Chinese:
https://www.youtube.com/playlist?list=PLV81siTMahbsjakNDIdFwbIvdyNqwRNPo
Best,
Stacy Allison-Cassin on behalf of the IFLA Wikidata Working Group
Stacy Allison-Cassin, PhD
Assistant Professor, Teaching Stream
Faculty of Information
University of Toronto
Stacy Allison-Cassin, PhD
Associate Librarian (on leave)
Department of Student Learning and Academic Success
Scott Library, York University
Unsubscribe from this list :
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For assistance please contact mailto:mailing.lists@ifla.org
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Call for Proposals: 2021 LD4 Conference on Linked Data, “Building Connections Together”
Submission deadline: Monday, April 12, 2021
Website: http://bit.ly/ld42021
The deadline to propose content for the 2021 LD4 Conference is fast approaching! All proposals are due Monday, April 12, by 11:59 pm PST.
The 2021 LD4 Conference<http://bit.ly/ld42021> will be held online from July 12-23. We are accepting proposals for content in a variety of formats and we invite you to submit your proposal<https://forms.gle/h8BVmSHrre8h4Xsy7> to be part of creating this conference! By bringing together a broad range of perspectives, the conference seeks to foster a community of practice for linked data in cultural heritage institutions.
The conference will include activities tailored to all levels of experience with linked data, with a focus on themes of:
* Linked data education
* Inclusion of diverse voices
* Practical steps toward linked data adoption
* Reliability and availability of linked data
* Incorporating linked data into day-to-day library operations
* Linked data advocacy
We are accepting proposals for content in a variety of formats and especially encourage proposals (conference or pre-conference) from participants from groups and regions that are traditionally underrepresented in conferences related to linked data in libraries and other cultural heritage organizations, as well as proposals from early career professionals. Successful proposals will focus on concrete ways that linked data impacts GLAM (Galleries, Libraries, Archives, and Museums) institutions, and will share pathways that allow others to participate in linked data. Please see the full Call for Proposals<https://sites.google.com/stanford.edu/2021ld4conf/call-for-proposals?authus…> for additional details.
Questions about the conference and this call for proposals? See our website bit.ly/ld42021<http://bit.ly/ld42021> or contact 2021_ld4conf_chairs(a)googlegroups.com<mailto:2021_ld4conf_chairs@googlegroups.com>
Thanks,
Gloria
Gloria Gonzalez
Senior Agile Product Owner
Zepheira, a division of EBSCO
https://www.ebsco.com/
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
<https://www.mediawiki.org/wiki/Structured_data_across_Wikimedia> Image
Suggestion API, by the Platform Engineering team.
<https://www.mediawiki.org/wiki/Platform_Engineering_Team>
*Searching across languages*
Media Search (or Special:MediaSearch
<https://commons.wikimedia.org/wiki/Special:MediaSearch?type=image>) 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
<https://commons.wikimedia.org/wiki/Special:MediaSearch>. 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
<https://commons.wikimedia.org/wiki/Commons:Structured_data/Media_search>.
Suggesting images for Wikipedia
The Image Suggestion API <https://image-suggestion-api.toolforge.org/?doc#/>
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
<https://www.mediawiki.org/wiki/Growth/Personalized_first_day/Structured_tas…>
to Wikipedia but could also be used to drive image reuse campaigns,
such as Wikipedia
Pages Wanting Photos
<https://meta.wikimedia.org/wiki/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
<https://image-suggestion-api.toolforge.org/?doc#/> and learn more on
the MediaWiki
page
<https://www.mediawiki.org/wiki/Core_Platform_Team/Initiatives/Image_Suggest…>.
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:
1.
Look at the Wikidata item for the article. If it has an image (P18
<https://www.wikidata.org/wiki/Property:P18>), choose that image.
2.
Look at the Wikidata item for the article. If it has a Commons category
associated (P373 <https://www.wikidata.org/wiki/Property:P373>), choose
an image from the category.
3.
Look at the articles about the same topic in other language Wikipedias.
Choose a lead image from those articles.
4.
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
<https://commons.wikimedia.org/wiki/Commons:Structured_data/Media_search>.
Learn more about the benefits of using Structured Data on Commons by reviewing
the updated documentation
<https://commons.wikimedia.org/wiki/Commons:Structured_data/GLAM/Why> and
joining our April office hours
<https://meta.wikimedia.org/wiki/Wikimedia_Foundation_GLAM_team/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
<https://outreach.wikimedia.org/wiki/GLAM/Newsletter/March_2021/Contents/WMF…>
.
Hope to see you all during the April office hours.
Best,
Giovanna Fontenelle (she/her)
Program Officer; GLAM and Culture
Wikimedia Foundation <https://wikimediafoundation.org/>