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/
Re: https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours
The change from "office hours" to "individual consultation"
has bothered me from the beginning, and I've finally reached
the level of sadness that prompts a message here...
Individual consultation can be great for the individuals
involved. However, it leaves the rest of the community out
in the cold, without possibility of benefit of knowing what
is being discussed, learning by lurking, etc.
So far as I've been able to discover, there are no minutes
or logs of such consultations, so there's not even a chance
to learn after-the-fact nor even to have a sense of what's
being talked about.
This makes me sad.
Of course, the Tuesday Noon ET time slot doesn't work well
for me anyway (it conflicts with the weekly call of the W3C
Credentials Community Group), but perhaps a new time slot
might be selected if Office Hours resume.
The web page says "We will evaluate the success of this
approach in mid-2023". It's now late-2023, but I see no
sign of that evaluation, so perhaps I haven't missed my
chance to make my voice heard.
Thanks for your consideration,
Ted
--
A: Yes. http://www.idallen.com/topposting.html
| Q: Are you sure?
| | A: Because it reverses the logical flow of conversation.
| | | Q: Why is top posting frowned upon?
Ted Thibodeau, Jr. // tel:+1-781-273-0900,1,32
Senior Support & Evangelism // mailto:tthibodeau@openlinksw.com
// http://twitter.com/TallTed
OpenLink Software, Inc. // http://www.openlinksw.com
117 Kendrick Street, Suite 300, Needham Heights, MA 02494-2722
Weblog -- http://www.openlinksw.com/blogs/
Community -- https://community.openlinksw.com/
LinkedIn -- http://www.linkedin.com/company/openlink-software/
Twitter -- http://twitter.com/OpenLink
Facebook -- http://www.facebook.com/OpenLinkSoftware
Universal Data Access, Integration, and Management Technology Providers
Hello everyone,
We are excited to announce an upcoming collaboration between the Wikidata
development team and data science students from Purdue University. The goal
of this collaboration is to identify and address discrepancies between
Wikidata and external data sources, potentially providing new useful
mismatches for the Mismatch Finder. More details about the project can be
found here: Wikidata:Mismatch Finder/Purdue Summer of Data 2024
<https://www.wikidata.org/wiki/Wikidata:Mismatch_Finder/Collaboration/Purdue…>
Project Overview
For those unfamiliar with the Mismatch Finder
<https://www.wikidata.org/wiki/Wikidata:Mismatch_Finder>, it is a tool that
identifies potential discrepancies between Wikidata items and external
databases, which are then presented to editors for review and correction.
This tool also suggests new statements that should be part of Wikidata, but
need a human-review step before adding them. As part of this project, the
students will work on providing mismatches for the Mismatch Finder and
addressing the discrepancies while receiving guidance and support. All
their work will be open source and released under open licenses.
Your Participation Matters
We seek your active participation in helping us identify data sources that,
when compared with Wikidata, could generate significant mismatches. We are
particularly interested in datasets that are free to use, easily
accessible, and ideally helpful for data that is used on Wikipedia. We have
collected potential data sources that we could work with in T304448
<https://phabricator.wikimedia.org/T304448>, and we would like you to add
more to the list.
Beyond dataset suggestions, we would also appreciate your feedback on what
exactly we should match, as these datasets are often extensive and broad.
If you have any questions, concerns or feedback, please leave us a note on
the project’s talk page: Wikidata talk:Mismatch Finder/Purdue Summer of
Data 2024
<https://www.wikidata.org/wiki/Wikidata_talk:Mismatch_Finder/Collaboration/P…>
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 Everyone,
I hope this message finds you well. We would like to inform you about an
important update regarding the Coolest Tool Awards. The Award[0] was
originally scheduled to be held virtually in December 2023 but we have made
the decision to move the award back to where it started - Wikimania.[1]
We are thrilled to announce that the 2023/2024 Coolest Tool Award will be
held as a physical and virtual gathering at Wikimania in Poland!!🎉[2]
Wikimania scholarships just opened, so apply now for a full or partial
scholarship![3]
This change was made to provide a more engaging and interactive experience
for the winners and all participants, and to ensure that we can celebrate
the accomplishments of our community members in a more memorable way. We
understand that this adjustment may impact your plans and schedules, and we
apologize for any inconvenience this may cause. However, we are confident
that this change will enhance the overall event and allow for more
meaningful interactions among the participants, including live
demonstrations.
We will be communicating more details about the event in the coming months,
including, call for nominations, event format, and any other pertinent
information. We welcome any suggestions or feedback you may have in making
our return to an in-person award ceremony a better experience. Please do
not hesitate to reach out to Onyinyechi Onifade at oonifade(a)wikimedia.org or
Seyram Komla Sapaty at ssapaty(a)wikimedia.org
We look forward to celebrating our successes together in July 2024. Stay
tuned for further updates.
Best regards,
Coolest Tool Award Organizing Team
[0]: https://meta.wikimedia.org/wiki/Coolest_Tool_Award
[1]:
https://wikimania.wikimedia.org/wiki/2019:Technology_outreach_%26_innovatio…
[2]:
https://diff.wikimedia.org/2023/03/20/announcing-the-host-of-wikimania-in-2…
[3]: https://wikimediafoundation.limesurvey.net/654573
--
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
Hello all,
You might have already heard the buzz: the Wikimedia Hackathon is gearing
up for an incredible event in Tallinn, Estonia
<https://en.wikipedia.org/wiki/Tallinn>, from May 3rd - 5th, 2024. Now,
we're thrilled to announce that the Registration form is now open
<https://pretix.eu/wikimedia/wmhackathon2024/>! The Registration form also
includes an optional Scholarship application
<https://pretix.eu/wikimedia/wmhackathon2024/>
<https://pretix.eu/wikimedia/wmhackathon2024/>which will run until January
5th 2024.
Participation in the onsite Wikimedia Hackathon in Tallinn is contingent
upon registration. The registration portal will remain accessible until we
hit our venue's capacity, which is approximately set at 220 participants.
Here's the exciting part: the event itself is entirely free of charge
ensuring that everyone has an opportunity to join us. Please note that
participants are required to make individual travel arrangements unless
they have been awarded a scholarship.
*Link to Registration & Scholarship Application:*
pretix.eu/wikimedia/wmhackathon2024/
(For detailed instructions, please visit the Mediawiki page
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2024/Participate#Registr…>
)
To ensure a vibrant and diverse participation, the Wikimedia Foundation
extends scholarships that encompass:
-
Travel
-
Accommodation expenses for a selected group of technical contributors.
The application form is seamlessly integrated into the registration process
and will remain accessible until January 5th 2024. For comprehensive
details about the scholarship process, committee, and eligibility criteria,
please visit the dedicated page
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2024/Participate#Scholar…>
.
It's worth noting that the registration and scholarship application form is
powered by Pretix, an open-source third-party service, which may introduce
additional terms. If you have inquiries regarding privacy and data
handling, consult the privacy statement
<https://foundation.wikimedia.org/wiki/Legal:Wikimedia_Hackathon_2024_Privac…>
for more information. Your participation matters, and we're committed to
making it as accessible as possible!
To collaborate and discuss hackathon plans with fellow participants, we
recommend starting conversations on the talk page
<https://www.mediawiki.org/wiki/Talk:Wikimedia_Hackathon_2024> and
exploring the various channels mentioned here
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2024/Connect>.
Should you encounter any questions or encounter issues related to the
registration form or scholarship application, don't hesitate to reach out
to the organization team. You can connect with us via the talk page
<https://www.mediawiki.org/wiki/Talk:Wikimedia_Hackathon_2024> or through
email at hackathon(a)wikimedia.org We're here to support you every step of
the way!
For the organizing team,
--
*Onyinyechi Onifade *
Technical Community Program Manager
Wikimedia Foundation <https://wikimediafoundation.org/>
Hello all,
If you are regularly involved in adding, organizing or reusing data from
Wikidata, you certainly encountered some questions or issues related to
data modelling: how to describe and structure information in a consistent
way on Wikidata. This is a big topic for the community at large, and that's
why we will address it together during a 3-days online event, the *Data
Modelling Days
<https://www.wikidata.org/wiki/Wikidata:Events/Data_Modelling_Days_2023>*,
that will take place next week, on November 30th, December 1st and 2nd.
During this online gathering, we will have lots of discussions on various
topics that you can discover *in the program*
<https://www.wikidata.org/wiki/Wikidata:Events/Data_Modelling_Days_2023#Sess…>:
we will talk about Entity Schemas and how they can be useful to improve
data quality and consistency on Wikidata, how to model heritage, gender,
references or web fiction, the challenges encountered by people reusing
Wikidata's data inside and outside the Wikimedia projects, how to model
data on a fresh new Wikibase instance, and many other exciting topics.
Aside from attending sessions and joining the discussions, you can also
join our *Data Modelling Clinic sessions*, where you can bring any topic
you are working on, ask questions or ask the community for feedback or
help. You will find these sessions on each day in the program.
The event is taking place online on the video conference platform Jitsi, it
is free, no registration needed (although you are invited to add your name
to the participants list
<https://www.wikidata.org/wiki/Wikidata:Events/Data_Modelling_Days_2023/Part…>).
Most sessions will be recorded in video and have collaborative notes, and
we will publish a list of outcomes and next steps for each session.
We are hoping to see a lot of you at the event!
If you have any questions, feel free to ask on the talk page
<https://www.wikidata.org/wiki/Wikidata_talk:Events/Data_Modelling_Days_2023>
or
directly by writing to me.
Best,
--
Léa Lacroix
Community Engagement & Events Consultant
Contractor for Wikimedia Deutschland e.V.
Hi Everyone,
On behalf of the Wikimedia Foundation's Hackathon Organizing team, I am
thrilled to share the exciting news that the 2024 Wikimedia Hackathon is
scheduled to unfold in the captivating city of Tallinn, Estonia
<https://en.wikipedia.org/wiki/Tallinn>, from May 3rd - 5th 2024!
The Wikimedia Hackathon is an annual event, uniting the global technical
community in a dynamic gathering focused on connection, innovation, and
building really cool projects. At this event, technical contributors
hailing from all corners of the globe converge with a shared mission: to
enhance the technological infrastructure and software that underpins and
empowers Wikimedia projects. For this exceptional 2024 edition, the
Wikimedia Foundation is joining forces with WMEE, the official local
chapter of the Wikimedia Foundation in Estonia
<https://meta.wikimedia.org/wiki/Wikimedia_Eesti>, to bring you an
unforgettable experience.
The theme for this edition aligns with last year's, emphasizing the
gathering of individuals who have a track record of contributing to the
technical aspects of Wikimedia projects. We're looking for those who are
versed in navigating the technical ecosystem and are adept at working
autonomously or collaborating effectively on projects.
While the majority of our event will unfold onsite, we're excited to share
that certain parts of the program will be broadcasted online, ensuring
accessibility to a wider audience. We warmly encourage local communities to
host pre-hackathon events or meetups. In the coming months, these pages
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2024> will be your
go-to resource for comprehensive details on attendance procedures, venue
specifics, travel recommendations, accommodation options, and scholarship
opportunities. Stay tuned!
The next milestone on our journey is just around the corner. Registration
and scholarship applications are set to open Monday November 27th (see
timeline <https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2024#Timeline>).
Be sure to keep an eye on the talk page, mediawiki page
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2024>and your inbox
for consistent updates.
Should you have any inquiries or wish to get in touch with the coordination
team, please don't hesitate to reach out to us at hackathon(a)wikimedia.org,
or share your thoughts on the talk page
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2024/Discussions> of
the hackathon.
We are really looking forward to welcoming you again at the Hackathon, and
we hope that you are also excited to join and hack together!
On Behalf of the Hackathon Organizing Team,
Onyinyechi Onifade
--
*Onyinyechi Onifade *
Technical Community Program Manager
Wikimedia Foundation <https://wikimediafoundation.org/>