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

TitleSemantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection
Publication TypeConference Paper
Year of Publication2006
AuthorsAnupam Joshi, Timothy Finin, Pranam Kolari, Li Ding, Meenakshi Nagarajan, Ismailcem Budak Arpinar, Boanerges Aleman-Meza, Cartic Ramakrishnan, Amit Sheth
Conference Name15th World Wide Web Conference (WWW 2006)
Pagination407-416
Date Published05/2006
PublisherACM
Conference LocationEdinburgh, Scotland
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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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. Project: SemDis.

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