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<p>Popular knowledge bases that provide SPARQL endpoints for the web are usually experiencing a high number of requests, which often results in low availability of their interfaces.
A common approach to counter the availability issue is to run a local mirror of the knowledge base.
Running a SPARQL endpoint is currently a complex task which requires a lot of effort and technical support for domain experts who just want to use the SPARQL interface.</p>
<p>With our approach of containerised knowledge base shipping we are introducing a simple to setup methodology for running a local mirror of an RDF knowledge base and SPARQL endpoint with interchangeable exploration components.
The flexibility of the presented approach further helps maintaining the publication infrastructure for dataset projects.</p>
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<h2>Installation</h2>

<p>We assume you have <code>git</code>, <code>python</code> (2.7 or 3.x, with <code>pip</code>) and a <code>docker</code> daemon running.
For further details please check the <a href="/requirements">requirements</a> section.</p>

<pre>
$ git clone https://github.com/Dockerizing/dockerizing-bootstrap
$ cd dockerizing-bootstrap
$ git submodule init &amp;&amp; git submodule update
$ sudo pip install -Ur requirements.txt
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<h2>Run</h2>
<pre>
$ cd examples/simple/
$ ../../dld.py
$ cd wd-dld
$ docker-compose up
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<p>See <a href="/bootstrap">How To Use Bootstrap Script</a> for more advanced setup.</p>
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        <a class="btn btn-lg btn-success" href="http://localhost:8895/sparql?query=select+*+from+<http%3A%2F%2Fexample.org%2F>+{+%3Fs+%3Fp+%3Fo+}"><span class="icon glyphicon glyphicon-play"></span> Run Query</a>
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            Now your SPARQL endpoint should be available at <a href="http://localhost:8895/sparql">http://localhost:8895/sparql</a>.<br/>
            Try to execute a simple query on your new endpoint: <code>select * from <http://example.org/> { ?s ?p ?o }</code>
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    <div style="clear: both"></div>
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<h2>Publication</h2>
<p><strong>Knowledge Base Shipping to the Linked Open Data Cloud</strong> by Natanael Arndt, Markus Ackermann, Martin Brümmer und Thomas Riechert in <em>11th International Conference on Semantic Systems Proceedings</em> [<a href="http://svn.aksw.org/papers/2015/SEMANTICS_DockerizingLOD/public.pdf">Download</a>, <a href="https://www.bibsonomy.org/bibtex/27c138bccf37b38cc49d21dabacd11b9b/aksw">Bibsonomy</a>]
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