Hello,
As many of you may already know, we have been working on introducing a
new Wikidata
data type <https://www.wikidata.org/wiki/Help:Data_type> that will make it
easier to find EntitySchemas
<https://www.wikidata.org/wiki/Wikidata:Schemas> and use them to connect to
other Wikibase Entities. This will allow editors to refer to existing
EntitySchemas in statements to indicate what class of Items, Lexemes etc.
are governed by an EntitySchema. This new EntitySchema datatype is now live
on Test Wikidata <https://test.wikidata.org/wiki/Wikidata:Main_Page> for
testing and your feedback.
Background
EntitySchemas were first introduced in 2019 as a way to model the structure
of Wikidata Items and validate data against those specifications. There are
a number of shortcomings with EntitySchemas still, which means they are not
as useful and used as much as they should be. We are now addressing a
number of those issues, starting with this new data type.
In 2019, we built the first version of the EntitySchema datatype, but it
was eventually rolled back based on your feedback. We have made a lot of
progress since then and take your feedback into account when developing
this new iteration.
The main goal of this development is to help editors model data more
consistently by making EntitySchemas more visible and integrated into
day-to-day editing work. The new EntitySchema data type offers the
following features:
-
A new data type that allows making statements that take an EntitySchema
ID as a value
-
A canonical URI scheme for EntitySchemas has been developed that matches
prefixes of other Semantic Entities (Items, Lexemes, and Properties) to
identify them as concepts and access them when they are referred to in
statements in various formats such as RDF
-
"What Links Here" now enables you to see what Items, Lexemes, and
Properties link to an EntitySchema in a statement
-
A “Concept URI” link has also been added to the EntitySchema’s sidebar,
mirroring the same format as Items
What will come next for EntitySchemas:
-
Displaying EntitySchemas linked in statements by their labels instead of
their IDs, making them more readable and easier to understand.
-
Support for language fallback to make EntitySchemas legible across
languages.
-
An updated termbox (the table with labels, descriptions and aliases) to
provide a more consistent experience between Items, Properties and
EntitySchemas in the future.
Testing and Feedback
Today, we’d love for you to explore EntitySchemas on Test Wikidata
<https://test.wikidata.org/wiki/Wikidata:Main_Page> and provide feedback.
We hope that the new EntitySchema data type will increase centralized
discussions around the modelling of specific classes in Wikidata. This new
visibility will allow for more integration of EntitySchemas into the
ecosystem, leading to improved data quality through more consistent
modelling. Ultimately making the reuse of our data easier, especially for
small to medium-sized reusers.
Here is an example we prepared earlier Q497
<https://test.wikidata.org/wiki/Q497>.
If you encounter any issues, have questions or concerns, or want to provide
feedback, please don’t hesitate to reach out to us on Wikidata talk:Schemas
<https://www.wikidata.org/wiki/Wikidata_talk:Schemas#New_EntitySchema_data_t…>
or
leave a comment on this ticket phab:T332724
<https://phabricator.wikimedia.org/T332724>.
Thanks so much,
Arian
--
Arian Bozorg (he/him)Junior Product Manager Wikidata
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30-577 11 62-230https://wikimedia.de
Keep up to date! Current news and exciting stories about Wikimedia,
Wikipedia and Free Knowledge in our newsletter (in German): Subscribe
now <https://www.wikimedia.de/newsletter/>.
Imagine a world in which every single human being can freely share in
the sum of all knowledge. Help us to achieve our
vision!https://spenden.wikimedia.de
Wikimedia Deutschland – Gesellschaft zur Förderung Freien Wissens e.
V. Eingetragen im Vereinsregister des Amtsgerichts
Berlin-Charlottenburg unter der Nummer 23855 B. Als gemeinnützig
anerkannt durch das Finanzamt für Körperschaften I Berlin,
Steuernummer 27/029/42207.
Hello all,
The Technical Decision-Making Forum Retrospective team
<https://www.mediawiki.org/wiki/Technical_decision_making> invites you to
complete a survey about Wikimedia's technical decision-making processes.
While there will be more ways to participate, this is the first and most
important step in our data collection. It aims to gather information about
your experience, thoughts, and needs regarding the process of making
technical decisions across the Wikimedia technical spaces.
This survey will be used for gathering information about the process and
the needs around technical decision-making that touches our production
systems.
You can find the survey link here:
https://wikimediafoundation.limesurvey.net/885471?lang=en
Who should take this survey?
People who do technical work that relies on software maintained by the
Wikimedia Foundation (WMF) or affiliates. If you contribute code to
MediaWiki or extensions used by Wikimedia, or you maintain gadgets or tools
that rely on WMF infrastructure, this survey is for you.
What is the deadline?
*August 7th, 2023 *
What will the Retrospective team do with the information?
The retrospective team will synthesize the collected data and publish an
anonymized analysis that will help leadership make decisions about the
future of the process.
We will collect anonymized information that we will analyze in two main
ways:
-
Sentiments based on demographic information: these will tell us whether
there are different needs and desires from different groups of people.
-
General needs and perceptions about decision-making in our technical
spaces: This will help us understand what kind of decisions happen in
the spaces, who is involved, and how to adjust our processes accordingly.
Is the survey the only way to participate?
The survey is the most important way for us to gather information because
it helps us gather input in a structured manner. But it will not be the
only way you can share your thoughts with us - we will have more
information soon about upcoming listening sessions where you can talk with
us live. In the meantime, you are always welcome to leave feedback on the
talk page:
https://www.mediawiki.org/wiki/Talk:Technical_decision_making/Technical_Dec…
Where can I see more information?
There are several places where you can find more information about the
Technical Decision-Making Process Retrospective:
-
The original announcement about the retrospective from Tajh Taylor:
https://lists.wikimedia.org/hyperkitty/list/wikitech-l@lists.wikimedia.org/…
-
The Technical Decision-Making Process general information page:
https://www.mediawiki.org/wiki/Technical_decision_making
-
The Technical Decision-Making Process Retrospective on MediaWiki:
https://www.mediawiki.org/wiki/Technical_decision_making/Technical_Decision…
-
Phabricator ticket: https://phabricator.wikimedia.org/T333235
How to contact the retrospective core team:
-
Write to the core team mailing list: tdf-retro-2023(a)lists.wikimedia.org
-
The Technical Decision-Making Process Retrospective on MediaWiki talk
page:
https://www.mediawiki.org/wiki/Talk:Technical_decision_making/Technical_Dec…
Thank you,
Moriel, on behalf of the TDMP Retro Core Group
Core group:
-
Moriel Schottlender (chair)
-
Daniel Kinzler
-
Chris Danis
-
Kosta Harlan
-
Temilola Adeleye
--
Moriel Schottlender (she/her <https://pronoun.is/she>)
Principal Software Engineer
Wikimedia Foundation https://wikimediafoundation.org/
Hi everyone,
As you're likely aware, the Wikimedia Foundation's Machine Learning and
Research teams have been working on migrating from ORES to Lift Wing — a
new open-source machine learning infrastructure. This shift brings a host
of new capabilities and simplifies the process of retraining models over
time. (For more details, see the previous announcement
<https://lists.wikimedia.org/hyperkitty/list/wikitech-l@lists.wikimedia.org/…>
)
Lift Wing has already been trained using a dataset comprising reverted and
patrolled edits. However, it would be extremely helpful to have additional
new training data to help the model get even better at detecting
problematic edits on Wikidata. Therefore, we need your help.
How You Can Contribute
The Research team built a tool to make your involvement easy and effective.
This tool allows you to label new training data quickly and efficiently.
You can find the tool here: Annotation Tool.
<https://annotool.toolforge.org/> It will show you an edit and ask you if
you would keep or revert the edit. You can skip any you are not sure about.
By participating in this process, you're helping enhance the accuracy of
the bad edits detection system on Wikidata, making it more robust and
reliable.
If you encounter any issues or want to provide general feedback, feel free
to leave us a note on this ticket phab:T341820
<https://phabricator.wikimedia.org/T341820>.
Cheers,
--
Mohammed S. Abdulai
*Community Communications Manager, Wikidata*
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0) 30 577 116 2466
https://wikimedia.de
Grab a spot in my calendar for a chat: calendly.com/masssly.
A lot is happening around Wikidata - Keep up to date!
<https://www.wikidata.org/wiki/Wikidata:Status_updates> Current news and
exciting stories about Wikimedia, Wikipedia and Free Knowledge in our
newsletter (in German): Subscribe now <https://www.wikimedia.de/newsletter/>
.
Imagine a world in which every single human being can freely share in the
sum of all knowledge. Help us to achieve our vision!
https://spenden.wikimedia.de
Wikimedia Deutschland — Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Charlottenburg, VR 23855 B.
Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin,
Steuernummer 27/029/42207. Geschäftsführende Vorstände: Franziska Heine,
Dr. Christian Humborg
Hi folks!
I noticed a few issues on iOS cellphone with Edge and Safari.
1. Language tag is shown confusingly right after and in line with Lemma.
Ex. “bring it on en” in screenshot attached. If someone could open a phab
ticket on my behalf that would be most welcome!
2. I no longer see + or add/edit buttons for Senses, Statements, etc.
(weird? Profile/account issue? Happens on both browsers on my iOS
cellphone.)
Thanks in advance!
Thad
--
Thad
https://www.linkedin.com/in/thadguidry/https://calendly.com/thadguidry/
Hello everyone,
TLDR; Wikimedia is participating in the Outreachy Round 27 internship
program <https://www.mediawiki.org/wiki/Outreachy/Round_27 > [1].
Outreachy's goal is to support people from groups underrepresented in the
technology industry. Interns will work remotely with mentors from our
community. We are seeking mentors to propose projects that Outreachy
interns can work on during their internship. If you have some ideas for coding
or non-coding (design, documentation, translation, outreach, research)
projects, share them by Sept. 29, 2023 at 4 pm UTC here as a subtask of
this parent task: <https://phabricator.wikimedia.org/T343871 > [2]
Program Timeline
As a mentor, you engage potential candidates in the application period
between October–November (winter round) and help them make small
contributions to your project. You work more closely with the accepted
candidates during the internship period between December–March (winter
round).
Important dates are:
-
Aug. 22, 2023 at 4pm UTC - Live Q&A for Outreachy mentors
<https://www.youtube.com/@outreachyinternships>
-
September 29, 2023 at 4pm UTC - Project submission deadline
<https://www.outreachy.org/communities/cfp/wikimedia/>
Guidelines for Crafting Project Proposals
* Follow this task description template when you propose a project in
Phabricator: <
https://phabricator.wikimedia.org/tag/outreach-programs-projects> [3]. You
can also use this workboard to pick an idea if you don't have one already.
Add #Outreachy (Round 27) tag.
* Project should require an experienced developer ~15 days and a newcomer
~3 months to complete.
* Each project should have at least two mentors, including one with a
technical background.
* Ideally, the project has no tight deadlines, a moderate learning curve,
and fewer dependencies on Wikimedia's core infrastructure. Projects
addressing the needs of a language community are most welcome.
Learn more about the roles and responsibilities of mentors on
MediaWiki.org: <https://www.mediawiki.org/wiki/Outreachy/Mentors> [4][5]
Cheers,
Onyinye & Sheila (Wikimedia Org Admins for Outreachy Round 27)
[1] https://www.mediawiki.org/wiki/Outreachy/Round_27
[2] https://phabricator.wikimedia.org/T343871
[3] https://phabricator.wikimedia.org/tag/outreach-programs-projects/
[4] https://www.mediawiki.org/wiki/Outreachy/Mentors
[ 5] https://www.outreachy.org/mentor/mentor-faq
I've curated a list of Wikimania sessions focused around Wikidata, or have
*some* connection to Wikidata:
https://wikimania.wikimedia.org/wiki/2023:Program/Wikidata
Feel free to add to the list if I missed something, including any Wikidata
meetups you may be hosting.
Happy Wikimania Week!
--
Mohammed S. Abdulai
*Community Communications Manager, Wikidata*
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0) 30 577 116 2466
https://wikimedia.de
Grab a spot in my calendar for a chat: calendly.com/masssly.
A lot is happening around Wikidata - Keep up to date!
<https://www.wikidata.org/wiki/Wikidata:Status_updates> Current news and
exciting stories about Wikimedia, Wikipedia and Free Knowledge in our
newsletter (in German): Subscribe now <https://www.wikimedia.de/newsletter/>
.
Imagine a world in which every single human being can freely share in the
sum of all knowledge. Help us to achieve our vision!
https://spenden.wikimedia.de
Wikimedia Deutschland — Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Charlottenburg, VR 23855 B.
Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin,
Steuernummer 27/029/42207. Geschäftsführende Vorstände: Franziska Heine,
Dr. Christian Humborg