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Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection

Title Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection
Author , , , , , , , ,
Book Proceedings of 15th World Wide Web Conference (WWW2006), Edinburgh, Scotland, May 23-26, 2006
Year 2006
Resource Type ConferencePaper
Keyword(s) semantic web,ontologies,semantic associations,semantic analytics,conflict of interest,entity disambiguation,social networks,data fusion,rdf,peer review process
Pages pp. 406-416
Full Citation Boanerges Aleman-Meza, Meenakshi Nagarajan, Cartic Ramakrishnan, Li Ding, Pranam Kolari, Amit P. Sheth, Ismailcem Budak Arpinar, Anupam Joshi, Tim Finin: Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection. WWW 2006, New York: ACM Press, 2006, pp. 407-416.
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 aFOAF (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.
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