There are some pretty good methods for optimizing the match process, but I
have not seen any implementation for that against Wikidata items. Only
things I've seen are some opportunistic methods. Duck tests gone wrong, or
"Darn it was a platypus!"

On Mon, Dec 14, 2015 at 11:19 PM, André Costa <andre.co...@wikimedia.se>
wrote:

> I'm planning to bring a few of the datasets into mix'n'match (@Magnus this
> is the one I asked sbout on Twitter) in January but not all of them are
> suitable and I believe separating KulturNav into multiple datasets on
> mix'n'match maxes more sense and makes it more likely that they get matched.
>
> Some of the early adopters of KulturNav have been working with WMSE to
> facilitate bi-directional matching. This is done on a dataset-by-dataset
> level since different institutions are responsible for different datasets.
> My hope is that mix'n'match will help in this area as well, even as a tool
> for the institutions own staff who are often interested in matching entries
> to Wikipedia (which most of the time means wikidata).
>
> @John: There are processes for matching kulturnav identifiers to wikidata
> entities. Only afterwards are details imported. Mainly to source statements
> [1] and [2]. There is some (not so user friendly) stats at [3].
>
> Cheers,
> André
>
> [1]
> https://www.wikidata.org/wiki/Wikidata:Requests_for_permissions/Bot/L_PBot_2
> [2]
> https://www.wikidata.org/wiki/Wikidata:Requests_for_permissions/Bot/L_PBot_3
> [3] https://tools.wmflabs.org/lp-tools/misc/data/
> ------
> André Costa
> GLAM developer
> Wikimedia Sverige
>
> Magnus Manske, 13/12/2015 11:24:
>
> >
> > Since no one mentioned it, there is a tool to do the matching to WD much
> > more efficiently:
> > https://tools.wmflabs.org/mix-n-match/
> <https://tools.wmflabs.org/mix-n-match/>
>
> +1
>
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