Sibao Hong created FLINK-1768:
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Summary: Fix the bug of BlobServerConnection's LOG.
Key: FLINK-1768
URL: https://issues.apache.org/jira/browse/FLINK-1768
Project: Flink
Issue Type: Bug
Thanks Andrea for the help!
For graph generation I mean that I'd like to materialize subgraphs of my
overall knowledge starting from some root nodes whose rdf type is of
interest (something similar to what JSON-LD does). Is that clear?
On Mar 22, 2015 1:09 PM, "Andra Lungu" wrote:
> Hi Flavio,
>
Hi Flavio,
We don't have a specific example for generating RDF graphs using Gelly, but
I will try to drop some lines of code here and hope you will find them
useful.
An RDF statement is formed of Subject - Predicate - Object triples. In Edge
notation, the Subject and the Object will be the source
Is there anu example about rdf graph generation based on a skeleton
structure?
On Mar 22, 2015 12:28 PM, "Fabian Hueske" wrote:
> Hi Flavio,
>
> also, Gelly is a superset of Spargel. It provides the same features and
> much more.
>
> Since RDF is graph-structured, Gelly might be a good fit for yo
Hi Flavio,
also, Gelly is a superset of Spargel. It provides the same features and
much more.
Since RDF is graph-structured, Gelly might be a good fit for your use case.
Cheers, Fabian
Gelly has a section in the docs, it should explain the vertex-centric
iterations. Is that not extensive enough?
Am 22.03.2015 12:04 schrieb "Flavio Pompermaier" :
> Hi Stephan,
> thanks for the response. Unfortunately I'm not familiar with the new Gelly
> APIs and the old Spargel ones (I still don
Hi Stephan,
thanks for the response. Unfortunately I'm not familiar with the new Gelly
APIs and the old Spargel ones (I still don't understand the difference
actually).
Do you think it is possible to add such an example to the
documentation/examples?
Best,
Flavio
On Sat, Mar 21, 2015 at 7:48 PM
Márton Balassi created FLINK-1767:
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Summary: StreamExecutionEnvironment's execute should return
JobExecutionResult
Key: FLINK-1767
URL: https://issues.apache.org/jira/browse/FLINK-1767
Project: Flink