Abstract
A research team from the University of Koblenz, Germany has won the
Billion Triples Challenge 2008 for demonstrating the scalability
of the Social Semantic Web with their SemaPlorer system. SemaPlorer
allows for searching and browsing of multimedia data using semantic
background knowledge. This background knowledge is obtained from
distributed sources of linked open data using distributed views and
querying based on the Resource Description Framework (RDF) and its
query language SPARQL. Cloud computing services are used to make
these large amounts of data available on demand. SemaPlorer proves
that semantic technologies can be used for the significant improvement
of user experience with social media while at the same time allowing
for great flexibility and short development cycles. The underlying
technology developed at the Information Systems and Semantic Web
(ISWeb) group is being used in multiple European research projects
and in commercial environments.
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