Wikimedia Sverige is proud to be
the recipient of $65,500 in support from the Swedish National Library for
our project Library Data.
We will work in collaboration with the Swedish
National Library to include a number of datasets onto Wikidata, such as
data about authors, libraries and different special databases of
bibliographies. This is a pilot project where we aim to discuss with the
community what to include and what to exclude. Based on the discussions and
the requests from the community we will design a continuation of this
project (if this first part is deemed successful continuous funding is
possible for 3-4 more years).
We started investigating a possible long term
partnership with the National Library in 2017 when Wikimedia Sverige
delivered inputs to the new National Strategy for the Library Sector on how
Sweden's libraries can work with Wikimedia for mutual benefits. The
National Library has just made history as the world's first national
library to fully transition to Linked Open Data (BIBFRAME 2.0), so the
timing could not have been better; we are now in position to examine how
this move can benefit Wikidata and other Wikimedia projects.
the project manager André Costa (andre.costa(a)wikimedia.se) or the developer
(alicia.fagerving(a)wikimedia.se) if you have
As always, you can find the full application on our wiki (in
Wikimedia Sverige (WMSE)
phone: +46 73 950 09 56
I have the following pattern in a SPARQL query:
?s ps:P2302 wd:Q52712340.
?item p:P2302 ?s.
It should give me all properties constrained by a specific constraint,
which works. Based on this I would like to find out how many statements
have these properties. However, ?item has the wd-prefix. To use it in
?subject ?item ?object,
I would need to "transform" it into the same ID but with the wdt-prefix.
Is this possible in any way?
It is now possible to participate in the ScienceSource project, by adding "main subject" statements.
The ScienceSource focus list has been up for a little while now at
which has the shortcut WD:SSFL. Wikidata items about biomedical articles can be added to the list as explained on the page, using P5008. That page has other links to expository material. The original grant page at
give an overview of the project's aims.
The Listeria-generated page
linked from the focus list page shows which of the items on the list (which is around 3K now, see the SPARQL query on the talk page WT:SSFL) lack a main subject (P921) statement.
At Wikimania I made the clarification that the focus list is supposed to be better "balanced" than the selection of articles represented on Wikidata as a whole. This is a big issue, but I don't think it is really disputed that the existing literature is more interested in the diseases of prosperous people and prosperous countries. On a straight utilitarian argument about the "greatest good of the greatest number", there is a problem.
Therefore, the composition of the focus list should not be a proportionate reflection of the 17.5M articles represented in Wikidata, by topic. We are looking first to include about 0.2% of articles on the list, bringing it up to about 40K. The Listeria page is a sortable table, and if you sort by "published in" you'll see plenty from PLOS Neglected Tropical Diseases - thanks to Daniel Mietchen for adding a collection of well-cited papers from there.
Later on there should be other lists by topic area, so we can get an idea of balance. Once main subjects (where type of disease is the most important area) build up, SPARQL aggregates can reveal distribution. This bubble chart query
gives a baseline, showing that currently the list's subjects are dominated by infectious diseases.
Where next? In the coming weeks, the ScienceSource wiki at http://sciencesource.wmflabs.org/ will be developed. Text-mining and annotation there will be the next phase. Downloading of papers to the wiki will depend on accumulating metadata on their Wikidata items.
Dear Mr. or Ms.,
I thank you for your efforts. We are managing to host next november a Wikidata query service advanced training for computer scientists from University of Sfax, Tunisia. The purpose of this training is to allow these scientists to have advanced skills to develop SPARQL queries that can be later used in web applications of Wikidata for various purposes particularly medical ones. To do this training, we need funding and that is why we did a rapid grant application. https://meta.wikimedia.org/wiki/Grants:Project/Rapid/Csisc/SPARQL:_Be_conne…. We invite you to endorse it so that the advanced training can be done.