Feedback on RDF Graphs: Conceptual Role and Practical Use Cases

Dear Semantic Web Community,
I’m seeking feedback on the conceptual and practical aspects of RDF graphs.

In RDF 1.2, an RDF graph is defined as: "An RDF graph is the conjunction
(logical AND) of all the claims made by its asserted triples." This
definition captures the logical aggregation of triples, but it leaves open
questions about how graphs are used in practice.

I would appreciate the community’s insights on questions such as:
  * How do you interpret the role of graphs?
  * Are graphs primarily conceptual constructs to organize triples, or are
they treated as concrete, addressable units in practice?
  * Do you see named graphs as a way to scope statements, manage
provenance, or isolate data for processing, while the “default graph”
serves a different purpose?
  * How do you decide when to create separate graphs versus keeping data in
a single graph?
  * In your experience, does the choice of graph boundaries affect
reasoning, querying, or data integration in practical applications? For
instance, do you treat multiple graphs as separate units, or are there
scenarios where it’s helpful to merge graphs and process a subject’s
properties across them?

Any references, examples, or experiences you can share would be extremely
valuable in understanding the balance between the conceptual model and its
practical applications.

Thank you for your time and expertise.

Best regards,
Filip
https://www.linkedin.com/in/filipkolarik/