<p style="text-align:justify;">
<a href="/research/projects/large_scale_object_matching" style="float:right; margin-left:2em;"><img title="Project Website" src="/file/dedoop.png" width="180" height="124"/></a>We demonstrate a powerful and easy-to-use tool called Dedoop (<u>De</u>duplication with Ha<u>doop</u>) for MapReduce-based entity resolution (ER) of large datasets. Dedoop supports a browser-based specification of complex ER workflows including blocking and matching steps as well as the optional use of machine learning for the automatic generation of match classifiers. Specified workflows are automatically translated into MapReduce jobs for parallel execution on different Hadoop clusters. To achieve high performance Dedoop supports several advanced load balancing strategies.<br/><br/>Please visit our <a href="/dedoop#dedoop">project website</a> for further informations about Dedoop.
</p>
<div style="clear:right"/>
<!--
<a href="/file/dedoop_slideshow/dedoop_slideshow.html" target="_blank" style="margin-left:20px; margin-right:20px; float:left;">
<img title="Slideshow & Features" src="file/dedoop_slideshow.png" width="405" height="295" alt="Slideshow"/>
</a>
-->
<a href="/file/PosterDedoop.pdf" style="float:left; margin-right:20px;">
<img title="Poster@VLDB 2012" src="file/PosterDedoop.png" width="162" height="234" alt="Poster" style="border:1px solid grey;"/>
</a>
<!--
<a href="/file/Dedoop_Data_Integration_Day_2012.pptx">
<img title="Presentation@Data Integration Day 2012" src="file/Dedoop_Data_Integration_Day_2012.png" width="180" height="135" alt="Presentation" style="border:1px solid grey;"/>
</a>
-->
<br style="clear:left"/>
<h2>Keywords</h2>
<ul>
<li>MapReduce, Hadoop</li>
<li>Entity Resolution, Object matching, Similarity Join, Pair-wise comparison</li>
<li>Clustering, Blocking</li>
<li>Overlapping Clusters, Redundant-free comparisons</li>
<li>Data Skew, Load Balancing</li>
</ul>
<h2 id="bibtex_heading">BibTex</h2>
<pre id="bibtex_listing">
@article{DBLP:journals/pvldb/KolbTR12,
author = {Lars Kolb and Andreas Thor and Erhard Rahm},
title = {{Dedoop: Efficient Deduplication with Hadoop}},
journal = {PVLDB},
volume = {5},
number = {12},
year = {2012},
pages = {1878-1881},
ee = {http://vldb.org/pvldb/vol5/p1878_larskolb_vldb2012.pdf},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
</pre>
