>> Note that Freebase did a lot of human curation and we know they could get
about 3000 verifications  of facts by "non-experts" a day who were paid for
their efforts.  That scales out to almost a million facts per FTE per year.

Where can I found out more about how they were able to do such high-volume human curation?  3000/day is a huge number.

On Thu, Jul 16, 2015 at 5:01 AM, <wikidata-request@lists.wikimedia.org> wrote:

Date: Wed, 15 Jul 2015 15:25:27 -0400
From: Paul Houle <ontology2@gmail.com>
To: "Discussion list for the Wikidata project."
        <wikidata-l@lists.wikimedia.org>
Subject: [Wikidata] Freebase is dead, long live :BaseKB
Message-ID:
        <CAE__kdQt55E7k7xHMeuBCu9QrwRKoMU_60NDuYgcTHNkC7DFHA@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

For those who are interested in the project of getting something out of
Freebase for use in Wikidata or somewhere else,  I'd like to point out

http://basekb.com/gold/

this a completely workable solution for  running queries out of Freebase
after the MQL API goes dark.

I have been watching the discussion about the trouble moving Freebase data
to Wikidata and let me share some thoughts.

First quality is in the eye of the beholder and if somebody defines that
quality is a matter of citing your sources,  than that is their definition
of 'quality' and they can attain it.  You might have some other definition
of quality and be appalled that Wikidata has so little to say about a topic
that has caused much controversy and suffering:

https://www.wikidata.org/wiki/Q284451

there are ways to attain that too.

Part of the answer is that different products are going to be used in
different places.  For instance,  one person might need 100% coverage of
books he wants to talk about,  another one might want a really great
database of ski areas,  etc.

Note that Freebase did a lot of human curation and we know they could get
about 3000 verifications  of facts by "non-experts" a day who were paid for
their efforts.  That scales out to almost a million facts per FTE per year.



--
Paul Houle

*Applying Schemas for Natural Language Processing, Distributed Systems,
Classification and Text Mining and Data Lakes*

(607) 539 6254    paul.houle on Skype   ontology2@gmail.com
https://legalentityidentifier.info/lei/lookup/
<http://legalentityidentifier.info/lei/lookup/>
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