Re: [Wikidata] Freebase is dead, long live :BaseKB - Wikidata

16 Jul 2015

...
 > 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, &lt;wikidata-request(a)lists.wikimedia.org&gt;
wrote:

...
  Date: Wed, 15 Jul 2015 15:25:27 -0400
 From: Paul Houle &lt;ontology2(a)gmail.com&gt;
 To: "Discussion list for the Wikidata project."
         &lt;wikidata-l(a)lists.wikimedia.org&gt;
 Subject: [Wikidata] Freebase is dead, long live :BaseKB
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 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(a)gmail.com
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