Re: Federated Knowledge Graphs with RDF

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"?
> 
> -Sarven
> https://csarven.ca/#i
> <OpenPGP_0xA74187CE3D508E3A.asc>

Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett
W3C Data Activity Lead & W3C champion for the Web of things