RE: resources for network-based/hierarchical RDF store

Andy

Virtuoso has SPARQL and an extension with SQL style aggregates and group by.
You can also use SPARQL inline inside SQL and SQL procedures.  Since SPARQL
makes result sets, you can use a SQL client like JDBC to iterate a cursor
over a result set.

We also have a full text extension.  See the below link for the SPARQL
extensions.

http://docs.openlinksw.com/virtuoso/rdfsparqlrulefulltext.html

We do not have clustering off the shelf but this is the next logical item on
the roadmap.

Orri



-----Original Message-----
From: semantic-web-request@w3.org [mailto:semantic-web-request@w3.org]On
Behalf Of Andreas Langegger
Sent: Thursday, April 26, 2007 11:07 PM
To: semantic-web@w3.org
Subject: Re: resources for network-based/hierarchical RDF store



Hi Paul,

thanks for the hint. I know Mulgara and I've also read about these
issues with Kowari and Tucana. However, at first I was looking for a
SPARQL-implementation since we wanted to be as close as possible to
evolving standards. I will take a closer look on Mulgara again.

We need support for aggregate functions and would have to extend SPARQL
anyway. Are there agg functions except count, like sum/min/max/avg...?

And we also need iterators resp. cursors for SPARQL results.
Are there any publications about query processing/optimizing in Mulgara?

Does anybody now about clustered Kowari/Mulgara application scenarios.
We are working on a distributed query processor for SPARQL. Any pointers
are appreciated.

Thanks again and best regards,
Andy

Received on Friday, 27 April 2007 01:04:00 UTC