Hi, I am currently working on a NER project at school and would like to know if there is a way to generate RDF dumps that only contain "instance of" or "subclass of" relations. I have found these dumps: RDF Exports from Wikidata <https://tools.wmflabs.org/wikidata-exports/rdf/exports/20160801/dump_download.html> Here, under "simplified and derived dumps" taxonomy and instances dumps are very useful for me but unfortunately very old. It would be great if I could generate up to date dumps. Thank You, Alkım Ece Toprak Bogazici University _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata

Hi, I am currently working on a NER project at school and would like to know if there is a way to generate RDF dumps that only contain "instance of" or "subclass of" relations. I have found these dumps: RDF Exports from Wikidata <https://tools.wmflabs.org/wikidata-exports/rdf/exports/20160801/dump_download.html> Here, under "simplified and derived dumps" taxonomy and instances dumps are very useful for me but unfortunately very old. It would be great if I could generate up to date dumps. Thank You, Alkım Ece Toprak Bogazici University _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata

Do these CONSTRUCT queries return any of the following document content-types? RDF-Turtle, RDF-XML, JSON-LD ?

On 27/04/2020 18:02, Kingsley Idehen wrote: you can use content negotiation on the sparql endpoint ~ query="CONSTRUCT { ... }" ~ curl -H "Accept: application/rdf+xml" https://query.wikidata.org/sparql --data-urlencode query=$query ~ curl -H "Accept: text/turtle" -G https://query.wikidata.org/sparql --data-urlencode query=$query

On 5/1/20 11:53 AM, Isaac Johnson wrote: If the challenge is downloading large files, you can also get local access to all of the dumps (wikidata, wikipedia, and more) through the PAWS <https://wikitech.wikimedia.org/wiki/PAWS> (Wikimedia-hosted Jupyter notebooks) and Toolforge <https://wikitech.wikimedia.org/wiki/Help:Toolforge> (more general-purpose Wikimedia hosting environment). From Toolforge, you could run the Wikidata toolkit (Java) that Denny mentions. I'm personally more familiar with Python, so my suggestion is to use Python code to filter down the dumps to what you desire. Below is an example Python notebook that will do this on PAWS, though the PAWS environment is not set up for these longer running jobs and will probably die before the process is complete, so I'd highly recommend converting it into a script that can run on Toolforge (see https://wikitech.wikimedia.org/wiki/Help:Toolforge/Dumps). PAWS example: https://paws-public.wmflabs.org/paws-public/User:Isaac_(WMF)/Simplified_Wik… Best, Isaac That isn't my challenge. I wanted to know why the WDQ UI doesn't provide an option for CONSTRUCT and DESCRIBE query solutions using a variety of document types. See: https://wikidata.demo.openlinksw.com/sparql to see what I mean. Ditto any DBpedia endpoint. Kingsley On Thu, Apr 30, 2020 at 1:33 AM raffaele messuti &lt;raffaele(a)docuver.se&gt; wrote: -- Isaac Johnson (he/him/his) -- Research Scientist -- Wikimedia Foundation _______________________________________________ Wikidata mailing listWikidata@lists.wikimedia.orghttps://lists.wikimedia.org/mailman/listinfo/wikidata -- Regards, Kingsley Idehen Founder & CEO OpenLink Software Home Page: http://www.openlinksw.com Community Support: https://community.openlinksw.com Weblogs (Blogs): Company Blog: https://medium.com/openlink-software-blog Virtuoso Blog: https://medium.com/virtuoso-blog Data Access Drivers Blog: https://medium.com/openlink-odbc-jdbc-ado-net-data-access-drivers Personal Weblogs (Blogs): Medium Blog: https://medium.com/@kidehen Legacy Blogs: http://www.openlinksw.com/blog/~kidehen/ http://kidehen.blogspot.com Profile Pages: Pinterest: https://www.pinterest.com/kidehen/ Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen Twitter: https://twitter.com/kidehen Google+: https://plus.google.com/+KingsleyIdehen/about LinkedIn: http://www.linkedin.com/in/kidehen Web Identities (WebID): Personal: http://kingsley.idehen.net/public_home/kidehen/profile.ttl#i : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata