Ontology-based Classification of Email
Kazem Taghva, Julie Borsack, Jeffrey Coombs, Allen Condit, Steven Lumos, Thomas A. Nartker · Digital Scholarship - UNLV (University of Nevada Reno) · 2003
We report on the construction of an ontology that applies rules for identification of features to be used for email classification. The associated probabilities for these features are then calculated from the training set of emails and used as a part of the feature vectors for an underlying Bayesian classifier.