Thank you for the link, Dan! I'm sure there are many reasons to make it
easier to run arbitrarily long queries on ones own machine. Anyway, I'm
sure this will turn out to be helpful.
Darius
--- Original-Nachricht ---
Von: Dan Brickley
Betreff: [Wikidata] Re: Private Information Retrieval
Datum: 30. Januar 2022, 2:32
An: Discussion list for the Wikidata project
On Sat, 29 Jan 2022 at 07:44, Darius Runge <darius-runge(a)magenta.de
<mailto:darius-runge@magenta.de> > wrote:
Dear all,
I started using WikiData for Private Information Retrieval. This allows
answering certain questions while maintaining a high degree of secrecy.
Suppose you wanted to know when Einstein was born, but for some reason
you must keep the fact that you want to know this a secret. In this case,
we assume a threat model with perfect knowledge about the computer in
use, not just that someone managed to log the Wikidata requests.
One solution would be to request a table of every human who ever won the
Nobel Prize (this requires the common knowledge of Einstein being a
winner of said) with the kind of Nobel Prize, date awarded, date of
birth, date of death unless living, nationality etc. If we let this table
scroll across the screen and read the required entry, there would be - as
far as I can tell - no way to learn which entry (and how many of them) is
of our interest.
I have written a simple PHP script that allows one to enter a SPARQL
request and have it displayed as a scrolling table. Please be advised
that this is in a very informal alpha state, and I am no professional Web
Developer. It's a mere proof-of-concept, but feel free to try it out if
the API quota lets you.
<https://darius-runge.eu/otp/request.php>
My question is, whether anyone of you might be interested in working with
me on discussing practical implications of this method (how should
requests be written to allow for the desired privacy?) or even making a
better implementation of a tool that allows viewing the scrolling table
of printing it out.
Feel free to reply to this mailing list entry or contact me privately
with the postal or telecommunication data provided in the footer in case
you don't want to discuss it in public.
Best,
Darius
This is interesting. Both privacy and wikidata service load concerns may be
addressed best by the various efforts underway towards making it easier to
run clones of the wikidata dataset in a variety of environments - cloud
platforms, local machines, etc.
Eg
<https://addshore.com/2019/10/your-own-wikidata-query-service-with-no-limits/>
Dan
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