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

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dc.contributor.authorAleman-Meza, Boanerges
dc.contributor.authorNagarajan, Meenakshi
dc.contributor.authorRamakrishnan, Cartic
dc.contributor.authorDing, Li
dc.contributor.authorKolari, Pranam
dc.contributor.authorSheth, Amit
dc.contributor.authorArpinar, Budak
dc.contributor.authorJoshi, Anupam
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-12-10T15:57:30Z
dc.date.available2018-12-10T15:57:30Z
dc.date.issued2006-05-23
dc.descriptionProceedings of the 15th International World Wide Web Conference,en_US
dc.description.abstractIn 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.en_US
dc.description.sponsorshipThis work is funded in part by NSF-ITR-IDM Award#0325464 titled ‘SemDIS: Discovering Complex Relationships in the Semantic Web’ and ARDA-supported project ‘An Ontological Approach to Financial Analysis & Monitoring.’en_US
dc.description.urihttps://dl.acm.org/citation.cfm?id=1135838en_US
dc.format.extent10 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2KW57N9J
dc.identifier.citationBoanerges 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: 10.1145/1135777.1135838en_US
dc.identifier.uri10.1145/1135777.1135838
dc.identifier.urihttp://hdl.handle.net/11603/12196
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis 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.
dc.subjectalgorithmsen_US
dc.subjectexperimentationen_US
dc.subjectsemantic weben_US
dc.subjectsocial networksen_US
dc.subjectconflict of interesten_US
dc.subjectpeer review processen_US
dc.subjectsemantic analyticsen_US
dc.subjectentity disambiguationen_US
dc.subjectdata fusionen_US
dc.subjectsemantic associationsen_US
dc.subjectontologiesen_US
dc.subjectRDFen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleSemantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detectionen_US
dc.typeTexten_US

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