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content with a triple store running parallel to the wiki [15]. In both cases,
the result is a near seamless production of Linked Data formats: RDF
export of semantic annotations and queries, and OWL export of categories
and properties defi ned in the wiki. This lets users focus on content through
a familiar wiki interface and relegates Linked Data considerations to
automated export formats. Most importantly, storing semantic annotations
inside a triple store opens up more advanced capacities, such as the use of
rules and inference engines. It also enables the use of the SPARQL query
language to go beyond the limitation of the built-in query language in
Semantic MediaWiki and enable more complex queries.
It is also worth noting that more lightweight approaches to making
semantic annotations available externally are also emerging. Using
RDFa or microdata formats, they will allow seamless augmentation of
existing wiki pages in formats recognised by web browsers and search
engines [16].
Consuming Linked Data content
Various options also exist to query and embed Linked Data content into
wiki pages. From emerging extensions such as RDFIO or LinkedWiki,
to more stable solutions such as the Halo extension, they do not stop
at simply embedding the result of SPARQL queries inside wiki
pages. Instead, they allow import of remote annotation to augment wiki
pages [9, 15].
These Linked Data extensions are only steps toward using wikis to
build mashups between multiple sources [17] or a fully dynamic
encyclopaedia defi ned as collections of assertions with their provenance,
such as demonstrated by Shortipedia [18].
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16.3.12 Applications of Linked Data integration
KnowIt is making use of the default RAP triple store provided with
Semantic MediaWiki prior to version 1.6. It is also using the SPARQL
Query extension to form queries and provide simple links to results in
several formats (CSV, XML, JSON) directly from the wiki [15].
Figure 16.7 gives an overview of the system. The Semantic MediaWiki
side of the system provides an interface to capture manual annotations
from users. Synchronised automatically when a user makes a change in
the wiki, the triple store side of the system provides an interface to other
applications using SPARQL queries.
 
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