Done.
Thad https://www.linkedin.com/in/thadguidry/
On Wed, Aug 28, 2019 at 12:31 PM Marco Fossati fossati@spaziodati.eu wrote:
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 <fossati@spaziodati.eu mailto:fossati@spaziodati.eu> wrote:
Hi everyone, Wearing the soweego project lead hat, I'm pleased to announce thatthe
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 learningalgorithms
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 _______________________________________________ Wikidata mailing list Wikidata@lists.wikimedia.org <mailto:Wikidata@lists.wikimedia.org> https://lists.wikimedia.org/mailman/listinfo/wikidata
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