Hi Richard,
This is a great idea, and is something I would like us to push towards in
Structured Commons: easy crowd-focused ways for us to refine understanding
of what is involved in a multimedia file. However, all of the precedents we
have use either machine prediction, or human curated prediction
(categories/infoboxes,etc) of whether or not the content is in there. Also,
the further we spread these games, the more we need to think about
confirmation of the "new" data that we are generating: for example, most of
the crowd-sourcing strategies on Zooniverse, require a certain number of
folks to affirm a decision, before they are added to a likely positive
queue (
https://www.zooniverse.org/). We may want to start with items that
have "depicts" compatible categories on Commons that could be sorted into
more specific categories -- or where the institutional descriptions have
string matches.
As Magnus describes also: I don't think the structure or data model right
now is very crowd-sourcing friendly at the moment: asking folks to identify
what is "depicted" in an image, may solicit a lot of less than-accurate
descriptions (for example, if you aren't familiar with farm equipment in
19th century france, you are likely to not know what the right language is
for describing those pastoral settings, etc). The more we push this beyond
folks who are wiki-savvy, the more we loose the self-filtering of folks
interested in understanding our data and community model before
contributing (I am also not familiar with any documentation of
institution-friendly ways for monitoring batches of data that get worked on
by these institutions per #2 at
http://blog.hatnote.com/post/161358369742/wikicite-2017-and-the-7-features-…
).
Thats not to say we shouldn't work on this: I just think some on-wiki
consultation and design (per Magnus) would be rather important.We should
also take a look at the interface/strategy used by GeneWiki:
https://github.com/SuLab/genewiki . They have the best other-environment,
open ecosystem for contributing to a particular domain on Wikidata.
Cheers,
Alex
On Wed, Jun 7, 2017 at 6:31 AM, Magnus Manske <magnusmanske(a)googlemail.com>
wrote:
Can do, but this can get quite complicated. Example:
https://www.wikidata.org/wiki/Q2917717#P180
There have to be "target search" (e.g. "bull"), zero to many
qualifiers
(some qualifier properties may be used several times in a single statement,
like "applies to part"), some of these should be offered by default because
they occur often ("applies to part"), with optional default values
("foreground", "right"), while allowing arbitrary values
("sky")...
Any development should also take the upcoming Commons Wikibase into
account, so the code can be re-used to annotate any Commons image.
This all calls for a separate tool, rather than shoehorning it into e.g.
the Distributed Game. Some planning, on-wiki, with "community buy-in" might
not be too outrageous a suggestion, surely?
On Tue, Jun 6, 2017 at 8:22 PM Pharos <pharosofalexandria(a)gmail.com>
wrote:
Hi Wikidata-niks,
As part of the Metropolitan Museum of Art project, I am interested in
facilitating more public editing of Wikidata items for artwork through
external tools, including that by relative newbies who might have an
interest in art history.
One basic property for artworks that is particularly suited for this
field is Depicts (P180), for example saying that a particular painting
depicts a particular person (or building, or mountain, or divinity, or type
of clothing).
We can do this to some extent now with Listeria and its 'wdedit' option,
but this requires js customization and significant wiki background on the
user''s part.
I was thinking something like the Wikidata Distributed Game might be
interesting and broadly accessible to the public, but that tool currently
only allows multiple-choice edits, and doesn't have a text entry box option.
Would it be possible to have some WiDaR-sh tool that could fill this
niche for artworks?
I think it could be of very broad usefulness and interest to art
communities.
Thanks,
Pharos
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