Re: Federated Knowledge Graphs with RDF

On 2021-06-22 11:31, Dave Raggett wrote:
> My two cents worth:
> 
> Knowledge graphs can be considered as graph based representations of
> data, data models, metadata, and semantics.  In principle, knowledge
> graphs can expose services for local or remote applications, that are
> subject to role based access control. A SPARQL end-point is just one
> possibility.
> 
> I like Jo Stichbury’s explanation:
> 
>> Knowledge graphs are able to capture diverse meta-data annotations
>> such as provenance or versioning information, which make them ideal
>> for working with a dynamic dataset. There is an increasing need to
>> account for the provenance of data and include it so that the
>> knowledge can be assessed by its consumers in terms of credibility
>> and trustworthiness. A knowledge graph can answer what it knows, and
>> also how and why it knows it.
> 
> Federated knowledge graphs are where graphs are split across databases
> held at different locations and managed by different groups, e.g.
> different parts of an enterprise, or different entities within a
> national health service.
> 
>> On 22 Jun 2021, at 09:04, Sarven Capadisli <info@csarven.ca> wrote:
>> 
>> On 22/06/2021 09.29, Pierre-Antoine Champin wrote:
>> 
>>> Dear SemWebers,
>>> with a few other colleagues, I am collating a list of projects,
>>> tools and demos showcasing how RDF technologies make it easier to
>>> build /Federated Knowledge Graphs/. Do you have any link to
>>> suggest?
>>> thanks in advance
>> 
>> What's definition of "federated knowledge graphs"?
>> 

Great answer above.

Maybe the tool created by M. Destandau (in cc) works with federated 
graphs?

Received on Tuesday, 22 June 2021 11:47:29 UTC