=Paper=
{{Paper
|id=Vol-2195/invited
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-2195/invited.pdf
|volume=Vol-2195
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-2195/invited.pdf</pdf>
<pre>
     Ontological Modelling in Wikidata

                           Markus Kroetzsch1
              1
                  Technical University of Dresden, Germany



Abstract. Wikidata, the knowledge base of Wikimedia, has been ex-
tremely successful in building and sustaining new communities of ed-
itors and users. Since its inception in 2012, it has developed from an
experimental ”data wiki” into a well-organised reference knowledge base
with an amazing array of applications. Developing an ontological schema
for such an open and rapidly expanding project is a huge undertaking,
and difficult challenges arise on many levels. The community has di-
rected significant efforts towards vocabulary development, many guide-
lines and rules have been created, and tools are used for helping editors
to avoid and correct modelling errors. Nevertheless, the distributed na-
ture of Wikidata editing often means that ontology design, too, is dis-
tributed, and a coherent global view is only being worked on once signif-
icant amounts of data have been added. The result is a knowledge graph
with a widely varying modelling quality across different sub-domains.
The big question for researchers is how their insights and methods can
help here. The Wikidata community is widely aware of semantic web
activities and existing standards and academic publications play a role
in many discussions. Yet, there seems to be only little direct exchange
between the communities. In this talk, I will review the current state of
Wikidata and its connection to semantic web standards such as RDF and
SPARQL. I will try to raise awareness of the particular requirements of
Wikidata, and argue that these are of general interest for the data-driven
curation of knowledge graphs.

</pre>