It seems to be grounded in http://askplatyp.us technology. They give the same answer on the Madonna question.
Without knowing the details I find a text file with mapping here:
https://github.com/ProjetPP/PPP-QuestionParsing-Grammatical/blob/65742217a95...
/Finn
On 05/26/2015 03:58 PM, Markus Krötzsch wrote:
The PPP SPARQL tool is great fun indeed. For example, it does an excellent job at
"Who is married to Madonna?"Quite appropriately, the following question keeps "Loading ..." forever:
"What is the greatest number?"However, I guess it's still a bug ;-)
Will this tool support qualifiers? How?
Also, where does the tool currently take its background knowledge from? For example, how does it know that "married" is a symmetric relation?
Markus
On 26.05.2015 14:13, Ricordisamoa wrote:
Il 26/05/2015 13:40, Markus Krötzsch ha scritto:
On 26.05.2015 02:18, Stas Malyshev wrote:
Hi!
o If you are not familiar with SPARQL yet, a toolhttps://tools.wmflabs.org/ppp-sparql/ has been created by Tpt https://www.wikidata.org/wiki/User:Tpt and Bene* https://www.wikidata.org/wiki/User:Bene* to generate SPARQL queries from natural language questions. o To do SPARQL queries from the command line, a command line tool https://github.com/mariushoch/asparagus was crafted by Marius https://www.wikidata.org/wiki/User:Hoo_man.
This is awesome! Need more SPARQL tools. I guess the direction to develop this would be to have GUI that allows to build queries (something like we see at https://wdq.wmflabs.org/wdq/) and maybe making ppp-sparql resolved queries - e.g. with actual Q-item for "president" when I ask for "who is the president of the USA?" - which will be more efficient.
Should we start some page where we list such tools?
Yes please.
I requested a toolinfo.json to be added to ppp-sparql: https://github.com/ProjetPP/PPP-Wikidata-SPARQL/pull/1 Then you would just search for "sparql" here https://tools.wmflabs.org/hay/directory/#/search/sparql.
I was quite surprised by how well ppp-sparql performs based on very limited information (it's guesses on simple sentences often yield results). Nice work! Maybe it could be more efficient to do some API requests to find the right entities rather than filtering many alternative labels as part of the query. It's not a pattern that we should encourage for production ;-)
Regards,
Markus
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