Proceedings of the 15th International World Wide Web Conference,

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

Boanerges Aleman-Meza, Meenakshi Nagarajan, Cartic Ramakrishnan, Amit Sheth, Budak Arpinar, Li Ding, Pranam Kolari, Anupam Joshi, and Tim Finin

May 23, 2006

In this paper, we describe a Semantic Web application that detects Conflict of Interest 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 is built by integrating entities and relationships from two social networks, namely 'knows' from a FOAF (Friendof- a-Friend) social network, and 'co-author' from the underlying co-authorship network of the DBLP bibliography. We describe our experiences on development of 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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Tags: foaf, foaf, rdf, semantic web, social networking, trust

Type: InProceedings

Publisher: ACM Press

Note: DOI= http://doi.acm.org/10.1145/1135777.1135838

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Google Scholar Citations: 106 citations