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