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   * [[http://atbrox.com/|Atbrox]]
    * We use hadoop for information extraction & search, and data analysis 
consulting
    * Cluster: we primarily use Amazon's Elastic MapReduce
- 
-  * [[http://www.ABC-Online-Shops.de/|ABC Online Shops]]
-   * Shop the Internet search engine
-  * [[http://www.aflam-3araby.com/|Aflam]]
-   * Biggest Aflam Directory on Web
  
  = B =
   * [[http://www.babacar.org/|BabaCar]]
@@ -144, +139 @@

    * We also use Hadoop for executing long-running offline 
[[http://en.wikipedia.org/wiki/SPARQL|SPARQL]] queries for clients.
    * We use Amazon S3 and Cassandra to store input RDF datasets and output 
files.
    * We've developed [[http://rdfgrid.rubyforge.org/|RDFgrid]], a Ruby 
framework for map/reduce-based processing of RDF data.
-   * We primarily use Ruby,  and RDFgrid to process RDF data with Hadoop 
Streaming.
+   * We primarily use Ruby, [[http://rdf.rubyforge.org/|RDF.rb]]   and RDFgrid 
to process RDF data with Hadoop Streaming.
    * We primarily run Hadoop jobs on Amazon Elastic MapReduce, with cluster 
sizes of 1 to 20 nodes depending on the size of the dataset (hundreds of 
millions to billions of RDF statements). 
  
   * [[http://www.deepdyve.com|Deepdyve]]
@@ -421, +416 @@

  = N =
   * [[http://www.navteqmedia.com|NAVTEQ Media Solutions]]
    * We use Hadoop/Mahout to process user interactions with advertisements to 
optimize ad selection.
+ 
   * [[http://www.openneptune.com|Neptune]]
    * Another Bigtable cloning project using Hadoop to store large structured 
data set.
    * 200 nodes(each node has: 2 dual core CPUs, 2TB storage, 4GB RAM)
@@ -439, +435 @@

    * We use Hadoop to store and process our log files
    * We rely on Apache Pig for reporting, analytics, Cascading for machine 
learning, and on a proprietary JavaScript API for ad-hoc queries
    * We use commodity hardware, with 8 cores and 16 GB of RAM per machine
-  * [[http://www.nlptechniquez.com/|nlp technique]]
-   * Free NLP Techniques in Life
  
  = O =
   * [[http://www.optivo.com|optivo]] - Email marketing software
@@ -645, +639 @@

    . 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.
-   * [[http://www.ultra-mind.com/|UltraMind]]
-   * If you Believe in Money, Mind Control and Power
  
  = V =
   * [[http://www.veoh.com|Veoh]]

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