![](bg8.png)
prop/direct/P31 (instance of) to indicate that an
instance belongs to a specific category. We therefore
map the property rdf:type to the Wikidata-specific
term:
SELECT * WHERE {?instance
<http://www.wikidata.org/prop/direct/P31>
<http://www.wikidata.org/entity/Q515> ;
rdfs:label "Karlsruhe"@de .}
For this query, we get two matching instances:
http://www.wikidata.org/entity/Q1040, the Ger-
man city in the state of Baden-Wuerttemberg, and
http://www.wikidata.org/entity/Q1026577, a city
in North Dacota. Depending on the instance the
user wants to refer to, he or she has to select the
appropriate one. This example does also show that a
completely automatic information retrieval is difficult
to control and therefore human supervision of this
process is still reasonable. If we run the query
with the more definition of a city by country using
the query string SELECT * WHERE {?instance
<http://www.wikidata.org/prop/direct/P31>
<http://www.wikidata.org/entity/Q15253706>;
rdfs:label "Karlsruhe"@de . }, we do not get
any result.
DBpedia
For DBpedia, we run the query for instances
of http://dbpedia.org/ontology/ City or http://
dbpedia.org/ontology/Town:
SELECT * WHERE {?instance rdf:type
<http://dbpedia.org/ontology/Town> ;
rdfs:label "Karlsruhe"@de . } The sin-
gle result of this query is the instance of
http://dbpedia.org/resource/Karlsruhe.
6 CONCLUSION
With the LD-Wiki approach we have shown how we
can assist users of organizational wikis with creating
new links to LOD entities. As we have separated the
knowledge management module from the knowledge
representation in MediaWiki, we are able to keep
track of the provenance of statements in our know-
ledge base without affecting the knowledge represen-
tation. Especially the synchronization of wiki data
and the organizational knowledge base as it was the
case in other semantic wiki approaches like SMW is
not required any longer. The great benefit for this kind
of interlinkage is that we can enrich the information
value of individuals in LD-Wiki by querying for prop-
erties of these individuals in LOD or retrieve a sum-
mary of entity data using entity summarization tools
to exploit the power the continuously growing amount
of LOD for corporate knowledge bases. Open issues
for future work include the privacy for confidential
data on the one hand while publishing parts of the
corporate knowledge base as LOD on the other hand.
This requires a proper implementation of Access Con-
trol Lists (ACLs) with carefully designed access roles
for each statement in the knowledge base. In or-
der to benefit from features of semantic Web tech-
nologies besides reusing information from LOD, the
knowledge management module should also enable
advanced reasoning over organizational data which
would also help to evaluate and interpret potential un-
certain, incomplete, inconsistent or redundant LOD
correctly. This would further increase the informative
value of the organizational knowledge base.
REFERENCES
Auer, S., Jungmann, B., and Sch
¨
onefeld, F. (2007). Se-
mantic wiki representations for building an enterprise
knowledge base. In Reasoning Web, volume 4636 of
Lecture Notes in Computer Science, pages 330–333.
Springer Berlin Heidelberg, Berlin, Heidelberg.
Aveiro, D. and Pinto, D. (2013). Implementing organiza-
tional self awareness - a semantic mediawiki based
enterprise ontology management approach. In Filipe,
J. and Dietz, J. L. G., editors, KEOD, pages 453–461.
SciTePress.
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., and
Patel-Schneider, P. (2003). The Description Logic
Handbook: Theory, Implementation and Applications.
Cambridge University Press.
Berners-Lee, T. (2009). Linked-data design
issues. W3C design issue document.
http://www.w3.org/DesignIssue/LinkedData.html.
Bizer, C., Heath, T., and Berners-Lee, T. (2009). Linked
data – the story so far. International Journal on Se-
mantic Web and Information Systems, 5(3):1–22.
Brickley, D. and Guha, R. (2004). RDF Vocabulary De-
scription Language 1.0: RDF Schema. W3C Recom-
mendation.
Frank, M. and Zander, S. (2016). Pushing the cidoc-
conceptual reference model towards lod by open an-
notations. In Oberweis, A. and Reussner, R. H., edi-
tors, Modellierung 2016, 2.-4. M
¨
arz 2016, Karlsruhe,
LNI, pages 13–28. GI.
Ghidini, C., Rospocher, M., Serafini, L., Kump, B., Pam-
mer, V., Faatz, A., Zinnen, A., Guss, J., and Lind-
staedt, S. (2008). Collaborative knowledge engineer-
ing via semantic mediawiki. In Auer, S., Schaffert,
S., and Pellegrini, T., editors, International Confer-
ence on Semantic Systems (I-SEMANTICS ’08), pages
134–141, Graz, Austria.
Hausenblas, M. (2009). Exploiting Linked Data to
Build Web Applications. IEEE Internet Computing,
13(4):68–73.