https://github.com/WolfgangFahl/snapquery provides FAIR Management of Query Sets to Mitigate Query Rot in Knowledge Graphs.
snapquery hides the technical details of queries.
You can just run
snapquery cats --limit 3
[
{
"item": "http://www.wikidata.org/entity/Q378619";,
"itemLabel": "Q378619"
},
{
"item": "http://www.wikidata.org/entity/Q498787";,
"itemLabel": "Muezza"
},
{
"item": "http://www.wikidata.org/entity/Q677525";,
"itemLabel": "Orangey"
}
]
https://github.com/WolfgangFahl/snapquery/issues/56 calls for
implementing tiny subsets of Wikidata such as
# countries and capitals # timezones # airports # languages # units as https://phabricator.wikimedia.org/T329368 outlines.With snapquery, each of these subsets just needs a proper name and query definition, and you can run the query to get the list and cache it locally as YAML, JSON, CSV, etc.
Creating the envisioned GitHub project should be much easier these days, and with combined community and AI support, we should quickly be able to pull this off.
If you'd like to participate, please comment on the Phabricator task. Wolfgang and Tim -- BITPlan - smart solutions Wolfgang Fahl Web:http://www.bitplan.de BITPlan GmbH, Willich - HRB 6820 Krefeld, Steuer-Nr.: 10258040548, Geschäftsführer: Wolfgang Fahl
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