Dear Houcemeddine,
On Sat, Aug 24, 2019 at 10:57 PM Houcemeddine A. Turki
wrote:
> I ask if someone is interested in creating shape expressions of Medical
> Wikidata classes.
Cool, please do!
> As well, I tried to access http://wikidata-shex.wmflabs.org/w/index.php.
> However, it does not wor
Dear all,
I thank you for your efforts. I have to thank Dr. Andra Waagmeester, Dr. Finn
Årup Nielsen and Dr. Egon Willighagen for their comments concerning the points
I raised in Wikidata. These comments were useful to learn about ShEx project. I
saw several papers about the project at http://la
TLDR: it would be useful ; but extreme hard to create rules for every
domains.
>4. How to calculate and represent them?
imho: it is deepends of the data domain.
For geodata ( human settlements/rivers/mountains/... ) ( with GPS
coordinates ) my simple rules:
- if it has a "local wikipedia pag
Hi,
If we accept that the quality of the data is the "fitness for use",
which in my opinion is the best and most commonly used definition (as
stated in the article linked by Ettore), then it will never be possible
to define a number that objectively represents data quality. We can
define a number
Hoi,
What is it that you hope to achieve by this.. It will add to the time it
takes to process an edit. It is a luxury we cannot afford. It is also not
something that would influence my edits.
Thanks,
GerardM
On Sat, 24 Aug 2019 at 13:55, Uwe Jung wrote:
> Hello,
>
> As the importance of Wi
Hello,
Very interesting idea. Just to feed the discussion, here is a very recent
literature survey on data quality in Wikidata:
https://opensym.org/wp-content/uploads/2019/08/os19-paper-A17-piscopo.pdf
https://opensym.org/wp-content/uploads/2019/08/os19-paper-A17-piscopo.pdf
Cheers,
Ettore Rizza
Hello,
As the importance of Wikidata increases, so do the demands on the quality
of the data. I would like to put the following proposal up for discussion.
Two basic ideas:
1. Each Wikidata page (item) is scored after each editing. This score
should express different dimensions of data qua
