Wikidata Query Service
Stas Malyshev
There’s over 14 million data items
in Wikidata.
How can we make sense of it all?
How can we let our users
make sense of it all?
The Wikidata Query Service lets users ask Wikidata complex questions, and find out the answers.
Example:
What were some of the fields of work of physicists who worked at institutions where Richard Feynman also worked?
Wikidata Query Service uses a query language
called SPARQL to write these complex questions.
SPARQL lets users precisely define their question
so that the Wikidata Query Service
understands how to answer it.
SELECT ?colleague ?field ?employer WHERE {� [Q:feynman] [P:employedBy] ?employerS .� ?colleagueS [P:employedBy] ?employerS .� ?colleagueS [P:occupiedAs] [Q:physicist] .� ?employerS [P:labelled] ?employer .� ?colleagueS [P:labelled] ?colleague .� ?colleagueS [P:worksInField] ?fieldS .� ?fieldS [P:labelled] ?field .�}
colleague | field | employer |
Richard Feynman | Particle physics | Cornell University |
Carl Sagan | astrobiology | Cornell University |
J. Robert Oppenheimer | Theoretical physics | California Institute of Technology |
J. Robert Oppenheimer | Nuclear physics | California Institute of Technology |
WDQS Demo
What things does the
Wikidata Query Service
let us do?
Example:
What if someone is searching for
a list of US presidents?
This is what they get.
We could use Wikidata Query Service
to just show them the list!
Building the anonymous path of discovery to a trusted and relevant source of knowledge.
Discovery Department
James
Douglas
Nik
Everett
Tomasz
Finc
Moiz
Syed
Dan
Garry
Stas Malyshev
Max
Semenik
Wes
Moran
Oliver
Keyes
Erik Bernhardson
Kevin
Smith
David
Causse
Yuri
Astrakhan
How to get involved!
Thank you!