Representing, Querying and Transforming Social Networks with RDF/SPARQL

  • Authors:
  • Mauro San Martín;Claudio Gutierrez

  • Affiliations:
  • Departamento de Matemáticas, Universidad de La Serena, and Computer Science Department, Universidad de Chile,;Computer Science Department, Universidad de Chile,

  • Venue:
  • ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
  • Year:
  • 2009

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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.