Thanks for the feedback, Thad!
Would you mind opening a ticket on GitHub with your suggestions?
https://github.com/Wikidata/soweego/issues
In the meanwhile, the original soweego proposal gives more insight about
the motivation and the outcomes, starting from the summary:
https://meta.wikimedia.org/wiki/Grants:Project/Hjfocs/soweego
Cheers,
Marco
On 28/08/19 18:39, Thad Guidry wrote:
Hmm....
I'd love to see you record a 3 min video added as a link on your
README.md might help to quickly understand the scope/applicability/benefits.
Your WHAT statement is not enough for fully understanding the WHY and
BENEFIT provided.
I'd suggest to add continued sentence, "...large-scale third-party
catalogs, so that you can ..."
"/soweego/ is a pipeline that connects Wikidata
<https://wikidata.org/> to large-scale third-party catalogs."
Thad
https://www.linkedin.com/in/thadguidry/
On Wed, Aug 28, 2019 at 11:22 AM Marco Fossati <foss...@spaziodati.eu
<mailto:foss...@spaziodati.eu>> wrote:
Hi everyone,
Wearing the soweego project lead hat, I'm pleased to announce that the
Wikimedia Foundation has approved the *soweego 1.1* proposal:
https://meta.wikimedia.org/wiki/Grants:Project/Rapid/Hjfocs/soweego_1.1
The main goal is to put together different machine learning algorithms
and get the highest-quality links between Wikidata and large external
catalogs.
Stay tuned for more rock'n'roll at:
https://github.com/Wikidata/soweego
And while you're there, why don't you give a star?
Cheers,
Marco
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