*(apologies for cross-posting)*
Hi everyone,
The Wikidata+Wikibase office hours
<https://www.wikidata.org/wiki/Wikidata:Events#Office_hours> for the next
quarter will be held on Wednesday, January 18th 2023 at 17:00 UTC (18:00
Berlin) in the Wikidata Telegram group
<https://t.me/joinchat/IeCRo0j5Uag1qR4Tk8Ftsg>.
*The Wikidata and Wikibase office hours are online events where the
development teampresents what we have been working on over the past
quarter, and the community is welcome to ask questions and discuss
important issues related to the development of Wikidata and Wikibase.*
We hope to see you there.
--
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*Community Communications Manager, Wikidata*
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Hello all,
As you may have heard, the Wikimedia Hackathon
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023> is back in person
on May 19-21 in Athens, Greece. We are now opening the registration form
that also includes an optional scholarship application form open until
January 14th.
Registration is required to attend the onsite Wikimedia Hackathon in
Athens. The registration form remains open until we reach the capacity of
the venue (around 220 people). The event is free of charge - participants
are expected to book their travel arrangements individually, unless they
are granted a scholarship.
You can register here by getting yourself a (free) ticket for the hackathon!
<https://pretix.eu/wikimedia/wmhack2023/> (see also the detailed
instructions
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Participate#Registr…>
)
In order to support the technical community and participants from diverse
backgrounds, the Wikimedia Foundation provides scholarships that cover
travel and accommodation for a selected number of technical contributors.
The application form is part of the registration process, and is open
until January
14th. You can find more information about the scholarship process,
committee and criteria on the related page
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Participate#Scholar…>
.
The registration and scholarship application form runs with Pretix, an open
source third-party service, which may subject it to additional terms. For
more information on privacy and data-handling, see the privacy statement
<https://foundation.wikimedia.org/wiki/Legal:Wikimedia_Hackathon_2023_regist…>
.
If you’d like to connect with others on plans for the hackathon, the talk
page <https://www.mediawiki.org/wiki/Talk:Wikimedia_Hackathon_2023/Connect>
and the other channels listed here
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Connect> are good
places to get started!
If you have any questions or issues with the registration form and/or the
scholarship application, feel free to reach out to the organization team on
the talk page or at hackathon(a)wikimedia.org.
For the organization team,
--
*Léa Lacroix *(she/her)
Hackathon Event Coordinator
Wikimedia Foundation <https://wikimediafoundation.org/>
Hi all,
Too many items on Wikidata still miss the basic statements. Perhaps we can
focus together for a short period of time on a single subject to get this
fixed.
For example: all items with instance of (P31) some sort of armed conflict
should also contain the point in time (aka start time).
When I just ran a query I saw about 1300 conflicts that are still missing
the time.
Query:
https://query.wikidata.org/#SELECT%20%3Fitem%20%3FitemLabel%20WHERE%20%7B%0…
Who has ideas and can help getting this statement added to all the items
about ports?
Thanks!
Romaine
Hi all,
Too many items on Wikidata still miss the basic statements. Perhaps we can
focus together for a short period of time on a single subject to get this
fixed.
For example: all items with instance of (P31) single (or any other type of
music release) should also contain the performing artist (P175) and the
publication date (P577).
When I just ran a query I saw 30 000+ items that are missing the performing
artist and saw 40 000+ items that are missing the publication date.
Query performer:
https://query.wikidata.org/#SELECT%20%3Fitem%20%3FitemLabel%20%3FinstanceOf…
Query publication date:
https://query.wikidata.org/#SELECT%20%3Fitem%20%3FitemLabel%20%3FinstanceOf…
Who has ideas and can help getting this statement added to all the items
about ports?
Thanks!
Romaine
Hi all,
Too many items on Wikidata still miss the basic statements. Perhaps we can
focus together for a short period of time on a single subject to get this
fixed.
For example: all items with instance of (P31) (maritime) port should also
contain the waterbody at which it is located (P206).
When I just ran a query I saw about 6000 ports that are still missing the
waterbody at which it is located (P206).
Query:
https://query.wikidata.org/#SELECT%20%3Fitem%20%3FitemLabel%20WHERE%20%7B%0…
I already did a few myself but for the largest part help is needed. Who has
ideas and can help getting this statement added to all the items about
ports?
Thanks!
Romaine
Hi all,
Too many items on Wikidata still miss the basic statements. Perhaps we can
focus together for a short period of time on a single subject to get this
fixed.
For example: all items with instance of (P31) sports season should also
have have sport (P641) as statement.
When I just ran a query I saw 24000 sports season items that are still
missing sport (P641).
Query:
https://query.wikidata.org/#SELECT%20%3Fitem%20%3FitemLabel%20WHERE%20%7B%0…
I already did a few myself but for the largest part help is needed. Who has
ideas and can help getting this statement added to all the sports season
items.
Thanks!
Romaine
Dear Tassos,
thanks for the example - that map is interesting but still arranged in
terms of geocoordinates, and based on Wikipedia data.
What I had in mind is a map that positions Wikidata items generically
(i.e. without the need for geolocation statements via P625) but
somewhat reliably (for a given query and reasonably stable data) in a
2D or 3D space (perhaps even as a function of some additional
parameters) and then allows the user to zoom around inside this system
to explore spatial relationships just as they can explore geospatial
relationships in your gelocated wiki atlases.
The closest thing to this that I have at hand right now is
https://galaxy.opensyllabus.org/ , which clusters syllabi by topic and
allows zooming but is not based on Wikidata.
The Wikidata Query Service has some visualizations that do part of
that but these (i) do not provide zooming, (ii) often time out and
have other problems, e.g. (iii) no reliable position of a given node
or (iv) little to no meaning in adjacency.
Another thing relevant here are Wikidata maps as per
https://commons.wikimedia.org/wiki/Wikidata_map
with their bright and dark areas and in particular their evolution over time
All of these provide for fertile ground to engage relevant
communities, and It would be very helpful to have similar
visualizations (e.g. change as a function of some parameter) for any
part of Wikidata, including but not limited to geodata.
Best,
Daniel
On Sat, Dec 17, 2022 at 10:57 PM Tassos Noulas <tnoulas(a)gmail.com> wrote:
>
> Hi Daniel,
>
> The project described here may be in line with what you are suggesting:
> https://www.theverge.com/2022/7/29/23283701/wikipediate-notable-people-rank…
>
> But could I be asking: what use case you had in mind? Why would I want to see a bunch of non geo entities on a map and what value would I extract from this aside from pure fun? I am not saying that fun is not worth it btw :), but one of the challenges we have been having with the tool is narrowing down to specific use cases that empower users and hopefully the Wikipedia ecosystem (you can imagine users crowdsourcing info through a cartographic/mobile platform in the future).
>
> The idea of parameterized url has been somewhat developed:
> https://wiki-atlas.org/?wikipage=Stuyvesant_Town%E2%80%93Peter_Cooper_Villa…
>
> But it is not serving all purposes in its current form and I think connecting entities based on QIDs as you suggest is a great idea. In addition to linking better the wiki entities with a map, and vice versa, we could exploit Wikidata’s querying functionality to allow for way more complex filtering approaches to those the tool currently offers (based on popularity, categories, keywords).
>
> Best,
> Tassos
>
> On Sat, 17 Dec 2022 at 19:43, Daniel Mietchen <daniel.mietchen(a)googlemail.com> wrote:
>>
>> Dear Diego, Aidan and Benjamin,
>> thanks for working on such functionality - both tools seem to be quite
>> useful already.
>> One way to abstract things out further would be to facilitate a
>> mapping (e.g. heatmaps) of non-geo things - for example basketball
>> players by number of points, perhaps with filters per season or club.
>> Is anyone here thinking in such directions?
>> Another request would be to have parametrized URLs based on QID and
>> perhaps type or language, e.g.
>> http://www.wiki-atlas.org/English/museums/Q7877613 or some such.
>> Best,
>> Daniel
>>
>> On Sat, Dec 17, 2022 at 2:36 AM Aidan Hogan <aidhog(a)gmail.com> wrote:
>> >
>> > Hi Diego,
>> >
>> > Thanks for the pointer; this is very cool! We would be happy to share
>> > experiences. (It's very impressive how many points you are able to
>> > render, and how these resize at different scales!)
>> >
>> > Indeed it seems we were not so original with the name. :)
>> >
>> > It seems both systems offer two different functionalities: one focuses
>> > on the "what's close to here" functionality, while the other focuses on
>> > the "where in the world are there X" functionality, like "where in the
>> > world are there lighthouses [1]", but generalised to all the types in
>> > Wikidata. It would be interesting to see how these two modalities could
>> > be combined in future maybe?
>> >
>> > Best,
>> > Aidan
>> >
>> > [1] https://www.lightphotos.net/photos/map_all.php
>> >
>> > On 2022-12-16 21:45, Diego Saez-Trumper wrote:
>> > > Hi Aidan,
>> > >
>> > > With Tassos and Rossano, we have a similar project (same name in fact).
>> > > You can check-it out here: www.wiki-atlas.org
>> > > <http://www.wiki-atlas.org>, maybe we could exchange some experiences
>> > > about it.
>> > >
>> > > Best,
>> > > Diego
>> > >
>> > > _______________________________________________
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