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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Justin Levandoski</author_name><author_url>https://www.microsoft.com/en-us/research/people/justinle/</author_url><title>RDF Data-Centric Storage - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="5alKd0fin5"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/rdf-data-centric-storage/"&gt;RDF Data-Centric Storage&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/rdf-data-centric-storage/embed/#?secret=5alKd0fin5" width="600" height="338" title="&#x201C;RDF Data-Centric Storage&#x201D; &#x2014; Microsoft Research" data-secret="5alKd0fin5" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>The vision of the Semantic Web has brought about new challenges at the intersection of web research and data management. One fundamental research issue at this intersection is the storage of the Resource Description Framework (RDF) data: the model at the core of the Semantic Web. We present a data-centric approach for storage of RDF [&hellip;]</description></oembed>
