Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection

  • Authors:

  • Boanerges Aleman-Meza;Meenakshi Nagarajan;Cartic Ramakrishnan;Li Ding;Pranam Kolari;Amit P. Sheth;I. Budak Arpinar;Anupam Joshi;Tim Finin

  • Affiliations:

  • University of Georgia, Athens, GA;University of Georgia, Athens, GA;University of Georgia, Athens, GA;University of Maryland, Baltimore, MD;University of Maryland, Baltimore, MD;University of Georgia, Athens, GA;University of Georgia, Athens, GA;University of Maryland, Baltimore, MD;University of Maryland, Baltimore, MD

  • Venue:
  • Proceedings of the 15th international conference on World Wide Web
  • Year:
  • 2006

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Abstract

In this paper, we describe a Semantic Web application that detects Conflict of Interest (COI) relationships among potential reviewers and authors of scientific papers. This application discovers various 'semantic associations' between the reviewers and authors in a populated ontology to determine a degree of Conflict of Interest. This ontology was created by integrating entities and relationships from two social networks, namely "knows," from a FOAF (Friend-of-a-Friend) social network and "co-author," from the underlying co-authorship network of the DBLP bibliography. We describe our experiences developing this application in the context of a class of Semantic Web applications, which have important research and engineering challenges in common. In addition, we present an evaluation of our approach for real-life COI detection.