index.html

<h1 id="zazuko-linked-data-training">Zazuko Linked Data Training</h1>
<ul>
<li>Github repository for this course <a href="https://github.com/zazuko/linked-data-training">zazuko/linked-data-training</a></li>
</ul>
<h2 id="presentations">Presentations</h2>
<ul>
<li><a href="LD-Basics/index.html">Linked Data basics</a></li>
<li><a href="SPARQL/index.html">SPARQL</a></li>
<li><a href="Ontologies/index.html">Ontologies</a></li>
</ul>
<h2 id="references-other-resources">References &amp; other resources</h2>
<ul>
<li><a href="https://github.com/zazuko/linked-data-training/blob/master/Resources.md">Resources</a></li>
</ul>
<h2 id="exercises">Exercises</h2>
<ul>
<li><a href="https://github.com/zazuko/linked-data-training/blob/master/exercises/exercises.md">Exercises</a></li>
</ul>
<h2 id="sample-data-queries">Sample Data &amp; Queries</h2>
<h3 id="based-on-exercise-questions">Based on exercise questions</h3>
<ul>
<li><a href="https://github.com/zazuko/tbbt-ld/tree/master/data/person">The Big Bang Theory Dataset</a> - schema.org based dataset with <code>schema:knows</code> relations based on characters of <em>The Big Bang Theory</em> TV series.</li>
<li>Federal Statistical Office &amp; Swisstopo
<ul>
<li><a href="https://goo.gl/sLKw6R">Get a specific shape in Swisstopo</a></li>
<li><a href="https://goo.gl/CMDv6U">Get specific municipalities at FSO</a></li>
<li>Federated query combining the two</li>
</ul></li>
<li><a href="https://github.com/zazuko/stadtarchiv-uster">Gujer Fotos Stadtarchiv Uster</a> - A simple georeferenced RDF dataset containing historic pictures from Swiss photographer <a href="https://data.stadt-zuerich.ch/dataset/bauhistorische-fotosammlung-von-uster-1893-1909-von-julius-gujer">Julius Gujer</a></li>
<li>Language filtering based on sample data in <a href="https://github.com/zazuko/ld-didok/blob/master/input/static.ttl">DIDOK list</a>. Try it on the <a href="http://lod.opentransportdata.swiss/sparql/">SPARQL endpoint</a>.
<ul>
<li>Graph: https://linked.opendata.swiss/graph/FOT/didok&gt;</li>
<li><a href="http://lod.opentransportdata.swiss/stationtype/Tram">Tram</a></li>
<li><a href="http://lod.opentransportdata.swiss/stationtype/Funicular">Funicular</a></li>
</ul></li>
<li>Wikidata: <a href="https://t.co/gyWQ7MRzL6">Get airport codes, labels &amp; location</a></li>
<li>GeoSPARQL
<ul>
<li><a href="https://goo.gl/d79MGy">Entrypoint graph &amp; observations</a></li>
<li><a href="https://goo.gl/SmXjoJ">Example temperature prediction</a></li>
<li><a href="http://www.opengeospatial.org/standards/geosparql">GeoSPARQL spec</a></li>
<li>Documentation in <a href="https://www.stardog.com/docs/#_geospatial_query">Stardog Triplestore</a></li>
</ul></li>
</ul>
<h3 id="other-examples">Other examples</h3>
<ul>
<li><a href="https://github.com/zazuko/fso-lod/blob/master/doc/eCH0071/sparql.md">Federal Statistical Office</a> - More sample SPARQL queries on the Swiss Historicised Municipality register. Includes federated queries on the Swisstopo/ld.geo.admin.ch dataset</li>
<li>Translations of Swiss municipality names from Wikidata by <a href="https://twitter.com/p1d1d1/status/864495483905093633">Pasquale Di Donato</a>
<ul>
<li><a href="https://t.co/HOH8ajhxNd">Table view</a></li>
<li><a href="https://t.co/5vZHvwswZ5">Map view</a></li>
</ul></li>
<li>Public transport stops in Switzerland <a href="https://t.co/MH5aOsKkaI">above 3000m</a>, based on <a href="https://twitter.com/swiss_geoportal/status/964083114174832640">Swisstopo tweet</a></li>
</ul>