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Title Representing, Querying and Transforming Social Networks with RDF/SPARQL
Authors Mauro San Martín, Claudio Gutierrez
Publication date 2009
Abstract As social networks are becoming ubiquitous on the Web,
the Semantic Web goals indicate that it is critical to have a standard
model allowing exchange, interoperability, transformation, and querying
of social network data.
In this paper we show that RDF/SPARQL meet this desiderata. Building on developments of social network analysis, graph databases and Semantic Web, we present a social networks data model based on RDF,
and a query and transformation language based on SPARQL meeting
the above requirements. We study its expressive power and complexity
showing that it behaves well, and present an illustrative prototype.
Pages 293-307
Conference name European Semantic Web Conference
Publisher Springer-Verlag (Berlin/Heidelberg, Germany)
Reference URL View reference page