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

@inproceedings{citeulike:984696, 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 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.}, address = {Edinburgh, Scotland}, author = {Aleman-Meza, Boanerges and Nagarajan1, Meenakshi and Ramakrishnan, Cartic and Ding, Li and Kolari, Pranam and Sheth, Amit P. and Arpinar, Budak I. and Joshi, Anupam and Finin, Tim}, citeulike-article-id = {984696}, citeulike-linkout-0 = {http://www2006.org/programme/files/xhtml/4068/p4068-aleman-meza.html}, day = {23}, institution = {University of Georgia and University of Maryland}, journal = {ACM}, keywords = {semanticweb}, month = {May}, organization = {International World Wide Web Conference Committee (IW3C2)}, posted-at = {2006-12-08 19:34:37}, priority = {3}, title = {Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection}, url = {http://www2006.org/programme/files/xhtml/4068/p4068-aleman-meza.html}, year = {2006} }

TY - CONF ID - citeulike:984696 L3 - citeulike-article-id:984696 N2 - 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. JF - ACM OR - International World Wide Web Conference Committee (IW3C2) AD - Edinburgh, Scotland TI - Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection KW - semanticweb AU - Aleman-Meza, Boanerges AU - Nagarajan1, Meenakshi AU - Ramakrishnan, Cartic AU - Ding, Li AU - Kolari, Pranam AU - Sheth, Amit AU - Arpinar, Budak AU - Joshi, Anupam AU - Finin, Tim PY - 2006/05/23/26 UR - http://www2006.org/programme/files/xhtml/4068/p4068-aleman-meza.html ER -