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Additional RDB2RDF Mapping Tools for the Berlin SPARQL Benchmark Competition?

From: Chris Bizer <chris@bizer.de>
Date: Tue, 3 Feb 2009 11:33:15 +0100
To: <public-xg-rdb2rdf@w3.org>
Cc: "'Andreas Schultz'" <aschultz@mi.fu-berlin.de>, <eric@w3.org>
Message-ID: <006d01c985ea$d272a520$7757ef60$@de>
Hi all,

 

The Berlin SPARQL Benchmark [1] is a benchmark for comparing the performance
of RDF stores with the performance of RDB to RDF mapping systems.

 

See [3] for the benchmark spec and [2] for benchmark results comparing the
performance of Jena TDB, Sesame, Virtuoso and D2R Server. The results for
RDB2RDF mappers are quite promising as they outperform RDF stores for larger
dataset sizes :-)

 

We are running the Berlin SPARQL benchmark again this month and it would be
great to have more RDB2RDF mappers beside of Virtuoso and D2R Server this
third competition.  

 

Does anybody know about other systems that are likely to be able to run the
benchmark? 

 

The requirements for this are:

 

1.       Be able to map a specific RDFS Schema to a specific relational
schema

2.       Do SPARQL to SQL query rewriting based on this mapping afterwards.

 

If you know about other systems beside Virtuoso and D2R Server that fulfill
these requirements, please let us know.

If you are the vendor of such a system, it would also be great if you could
tell us how to optimize the configuration of your system for the benchmark.

 

Thanks a lot in advance and let’s hope for an exciting third competition!

 

Cheers

 

Chris

 

 

[1] http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark/

[2]
http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark/results/index.ht
ml
<http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark/results/index.h
tml#sesamenative> 

[3]
http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark/spec/index.html

 

--

Prof. Dr. Christian Bizer

Web-based Systems Group

Freie Universitšt Berlin

+49 30 838 55509

http://www.bizer.de

chris@bizer.de

 
Received on Tuesday, 3 February 2009 10:33:31 GMT

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