Towards Semantic Social Networks

  • Authors:

  • Jason J. Jung;Jérôme Euzenat

  • Affiliations:

  • Department of Computer and Information Engineering, Inha University, Incheon,402-751, Republic of Korea;INRIA Rhône-Alpes & LIG, Montbonnot, France

  • Venue:
  • ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
  • Year:
  • 2007

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Abstract

Computer manipulated social networks are usually built from the explicit assertion by users that they have some relation with other users or by the implicit evidence of such relations (e.g., co-authoring). However, since the goal of social network analysis is to help users to take advantage of these networks, it would be convenient to take more information into account. We introduce a three-layered model which involves the network between people (social network), the network between the ontologies they use (ontology network) and a network between concepts occurring in these ontologies. We explain how relationships in one network can be extracted from relationships in another one based on analysis techniques relying on this network specificity. For instance, similarity in the ontology network can be extracted from a similarity measure on the concept network. We illustrate the use of these tools for the emergence of consensus ontologies in the context of semantic peer-to-peer systems.