There are quite a few methods.
(1) You can download more RDF files to get a more complete data set
(2) To pick out references to people you can first of all scan the types
to make a list of people, then you can filter for triples where a
member of that list is in either the ?s or ?o position -- if you are
efficient you can probably store the set of people in RAM,
otherwise you can use algorithms that require the data be sorted,
it is quite feasible to sort n-triples files that are larger than
the ones published by DBpedia with gnu sort on a typical laptop.
(3) You could also scan records out from the public endpoint by the use
of range queries, for instance, you could look for
?a a Person .
where ?a is in the range of dbpedia:AA to dbpedia:AB or something
like that.
(4) You can load the RDF files into a triple store yourself and do what
you wish with them, and
(5) You can get the complete data preloaded and do what you wish with it
in AWS at this rate:
https://aws.amazon.com/marketplace/pp/B01HMUNH4Q/
Because you pay for hardware & software by the hour, this is convenient
and affordable for research projects where you could extract the data
you need by running the server for just a few hours.
--
Paul Houle
[email protected]
On Sat, Jan 28, 2017, at 03:09 PM, Ankur Padia wrote:
> Hello everyone,
>
> I am trying to download triples from SPARQL endpoint specific to
> Person category but hit a limit of 10K triples. I also tried to
> download the Person dataset that are made publicly available but
> it seems to have relatively fewer predicates compared to the
> endpoint.
>
> How can I get access to all triples present for DBpedia Person
> category ?
>
> Ankur.
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