Aleman-Meza, BoanergesNagarajan, MeenakshiRamakrishnan, CarticDing, LiKolari, PranamSheth, AmitArpinar, BudakJoshi, AnupamFinin, Tim2018-12-102018-12-102006-05-23Boanerges Aleman-Meza, Meenakshi Nagarajan, Cartic Ramakrishnan, Amit Sheth, Budak Arpinar, Li Ding, Pranam Kolari, Anupam Joshi, and Tim Finin, Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection, Proceedings of the 15th International World Wide Web Conference, 2006, DOI: 10.1145/1135777.113583810.1145/1135777.1135838http://hdl.handle.net/11603/12196Proceedings of the 15th International World Wide Web Conference,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.10 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.algorithmsexperimentationsemantic websocial networksconflict of interestpeer review processsemantic analyticsentity disambiguationdata fusionsemantic associationsontologiesRDFUMBC Ebiquity Research GroupText