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   * 
[[http://dbis.informatik.uni-freiburg.de/index.php?project=DiPoS|University of 
Freiburg - Databases and Information Systems]]
    * 10 nodes cluster (Dell PowerEdge R200 with Xeon Dual Core 3.16GHz, 4GB 
RAM, 3TB/node storage).
-   We use Hadoop to facilitate information retrieval research & 
experimentation, particularly for TREC, using the Terrier IR platform. The open 
source release of [[http://ir.dcs.gla.ac.uk/terrier/|Terrier]] includes 
large-scale distributed indexing using Hadoop Map Reduce.
+   . Our goal is to develop techniques for the Semantic Web that take 
advantage of MapReduce (Hadoop) and its scaling-behavior to keep up with the 
growing proliferation of semantic data.
+   * 
[[http://dbis.informatik.uni-freiburg.de/?project=DiPoS/RDFPath.html|RDFPath]] 
is an expressive RDF path language for querying large RDF graphs with MapReduce.
+   * 
[[http://dbis.informatik.uni-freiburg.de/?project=DiPoS/PigSPARQL.html|PigSPARQL]]
 is a translation from SPARQL to Pig Latin allowing to execute SPARQL queries 
on large RDF graphs with MapReduce.
  
  = V =
   * [[http://www.veoh.com|Veoh]]

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