Hi,
I have loaded dbpedia's dump on virtuoso and i'm provided with 3.200.000
real-world queries from dbpedia.
I need to analyze the paths that are traversed by the virtuoso engine in
order to answer these queries.
So basically I'd like to build a directed weighted graph G where:
- the vertices
Hi Patrick,
On Thu, 2011-02-10 at 18:12 +0100, Patrick van Kleef wrote:
>
> http://docs.openlinksw.com/virtuoso/htmlconductorbar.html#admui.internetdomains
>
>
>
> At install time you have your HTTP Server port in your virtuoso.ini
> set to 8890, which you want to keep in your local network
Hi Pierre,
Although I have been looking through the documentation, I could not
find
if it is possible to have the sparql endpoint on a different port than
the conductor ?
For security reason I would like to keep my conductor listening on a
different port and be able to publish my sparql endp
I've looked through a couple of different documentation pages that talk about
configuring RDF replication between Virtuoso instances:
http://www.openlinksw.com/OdbcRails/main/Main/VirtGraphReplicationPSQL
http://docs.openlinksw.com/virtuoso/rdfgraphreplication.html
These pages appear to indi
Hi,
Although I have been looking through the documentation, I could not find
if it is possible to have the sparql endpoint on a different port than
the conductor ?
For security reason I would like to keep my conductor listening on a
different port and be able to publish my sparql endpoint on port
On 2/10/11 14:54 , Abhi wrote:
I want to test virtuoso performance with a data set that consists of
approximately 100 million triples. I read through the virtuoso web
scale pdf which says 16Gb of RAM per 1 billion triple is
a reasonable estimate.
1. What is the basis of this calculation?
Our
* Abhi
>
> I want to test virtuoso performance with a data set that consists of
> approximately 100 million triples. I read through the virtuoso web scale pdf
> which says 16Gb of RAM per 1 billion triple is a reasonable estimate.
> [...]
> 4. Would a single instance of virtuoso handle 100 Mil
I want to test virtuoso performance with a data set that consists of
approximately 100 million triples. I read through the virtuoso web scale pdf
which says 16Gb of RAM per 1 billion triple is a reasonable estimate.
1. What is the basis of this calculation?
2. Is this a linear relationship between
