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 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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