cool. I have not seen it before. Let me have look…
one more quick question. Is the SPARQL end point reliable? Can it be used for
real time queries from apps? Or would you recommend it solely for ad hoc
queries?
Cheers,
Julius
On Jul 12, 2013, at 3:23 PM, Timothy Lebo wrote:
> Hi, Kingsley,
>
> How do you go about getting your hands on the LOD Cloud?
>
> Do you just crawl? Do you use the metadata in datahub.io? Do you ride Sindice?
>
> If one had some LOD sitting around, how do they fall into your conglomerate?
>
> Thanks,
> Tim
>
> On Jul 12, 2013, at 8:13 AM, Kingsley Idehen <[email protected]> wrote:
>
>> On 7/12/13 6:52 AM, Julius Chrobak wrote:
>>> Hello dbpedia enthusiasts,
>>>
>>> I'm a big fan of the Linked Open Data cloud and looking at the activity
>>> around dbpedia, I'm convinced there is a lot of value in this data!
>>>
>>> Recently I was wondering if there is anyone interested in having a single
>>> place where all the major datasets from Linked Open Data cloud would be
>>> available for querying.
>>> This way, queries could be run across them, i.e. filter, join, aggregate,
>>> traverse, you name it...
>>>
>>> What do you think?
>>
>> Have you looked at:
>>
>> 1. http://lod.openlinksw.com ?
>>
>> 2. http://lod.openlinksw.com/sparql ?
>>
>> It hosts 51 Billion+ Triples culled from across the LOD Cloud. Basically,
>> all the datasets that we can get our hands on.
>>
>> Try it out :-)
>>
>> Kingsley
>>>
>>> Cheers,
>>> Julius Chrobak
>>> co-founder of mingle.io - Query API of Open Data
>>> @julochrobak
>>>
>>>
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>>
>>
>> --
>>
>> Regards,
>>
>> Kingsley Idehen
>> Founder & CEO
>> OpenLink Software
>> Company Web: http://www.openlinksw.com
>> Personal Weblog: http://www.openlinksw.com/blog/~kidehen
>> Twitter/Identi.ca handle: @kidehen
>> Google+ Profile: https://plus.google.com/112399767740508618350/about
>> LinkedIn Profile: http://www.linkedin.com/in/kidehen
>>
>>
>>
>>
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>
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> Isolate bottlenecks and diagnose root cause in seconds.
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