On 22/09/2019 08:48, Sebastian Hellmann wrote:
...
The formula here is quite easy: If you look at DBpedia's data in detail
or a part of it, it will not shine so much since it is extracted,
Sure, but I think that this is not clear to many people who are
currently using DBpedia as a dataset (
DBpedia actually has no data, we provide tools to more effectively use OTHER
PEOPLE'S DATA, e.g. Wikipedia.
Here is an image of the maximum size of the new scalable and actually bulk
downloadable DBpedia via Databus in let's say one or two years:
https://lod-cloud.net/
With Download As Wikida
Hoi,
>From my perspective the point of a data set is for it to be used. The
extend in which it is used defines how useful an individual data set is. I
even blogged about it .. [1]
Thanks,
GerardM
[1]
https://ultimategerardm.blogspot.com/2019/09/comparing-datasets-bigger-or-better-or.html
On
On 9/21/19 7:35 PM, Andra Waagmeester wrote:
> Agree, I am also interested in seeing this. I recently did a small
> comparison on science awards on coverage of laureates in both DBpedia
> and wikidata and came to the same conclusion. The difference sometimes
> was quite substantial in favour of Wik
On 9/22/19 1:34 AM, hellm...@informatik.uni-leipzig.de wrote:
> Hi Kingsley,
>
> that describes the core of the glue that DBpedia is. The definition
> leads to people downloading the EN DBpedia dataset and running
> statistics that will only discover what data is wrong or missing in
> the smallest
On 9/21/19 6:30 PM, Kingsley Idehen wrote:
> On 9/20/19 1:31 PM, Denny Vrandečić wrote:
>> Yes, you're touching exactly on the problems I had during the
>> evaluation - I couldn't even figure out what DBpedia is.
> Hi Denny and Sebastian,
>
> To reiterate and/or clarify.
>
> DBpedia is a community
Congratulations, Denny!
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On 9/22/19 11:55 AM, Kingsley Idehen wrote:
> On 9/21/19 6:30 PM, Kingsley Idehen wrote:
>> On 9/20/19 1:31 PM, Denny Vrandečić wrote:
>>> Yes, you're touching exactly on the problems I had during the
>>> evaluation - I couldn't even figure out what DBpedia is.
>> Hi Denny and Sebastian,
>>
>> To r