Mauro San Martín and Claudio Gutierrez. Representing, Querying and Transforming Social Networks with RDF/SPARQL PDF Print E-mail

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.

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