I like that. I think DBpedia's usefulness is highlighted when we show it as
a "glue" helping to get to many different datasets.
It would be cool as well if the people working on quality / debugging would
pick samples of these data sources (e.g. 500 data points) and estimate the
overall error rates of our classification for the whole set based on what
can be generalized from that sample (e.g. within the .95 confidence level)
On Mon, Apr 20, 2015, 21:32 Sebastian Hellmann <
hellm...@informatik.uni-leipzig.de> wrote:
> Any suggestions?
>
> If there is RDF, we can put a copy on our 25TB server and do links +
> classification with the DBpedia Ontology.
> All the best,
> Sebastian
>
> On 20 April 2015 13:54:43 CEST, "Pablo N. Mendes" <pablomen...@gmail.com>
> wrote:
>
>> Hi all,
>> A list of potential integration targets with DBpedia?
>>
>>
>> http://www.datasciencecentral.com/m/blogpost?id=6448529%3ABlogPost%3A268197
>>
>> Cheers
>> Pablo
>>
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>
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