Hoi,
Sorry, I understand sarcasm but I do not understand what it is based upon.
Thanks,
GerardM
On 15 December 2015 at 20:10, John Erling Blad <[email protected]> wrote:
> 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 <[email protected]>
> 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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