Ontology-based Classification of Email

  • Authors:
  • Kazem Taghva;Julie Borsack;Jeffrey Coombs;Allen Condit;Steve Lumos;Tom Nartker

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • ITCC '03 Proceedings of the International Conference on Information Technology: Computers and Communications
  • Year:
  • 2003

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Abstract

We report on the construction of an ontology that applies rules for identification of features to be used foremail classification. The associated probabilities forthese features are then calculated from the training setof emails and used as part of the feature vectors for anunderlying Bayesian classifier.