Title :
Ontology-based classification of email
Author :
Taghva, Kazem ; Borsack, Julie ; Coombs, Jeffrey ; Condit, Allen ; Lumos, Steve ; Nartker, Tom
Author_Institution :
Inf. Sci. Res. Inst., Nevada Univ., Las Vegas, NV, USA
Abstract :
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.
Keywords :
classification; electronic mail; knowledge representation; Bayesian classifier; feature vectors; ontology; ontology-based email classification; record manager; Bayesian methods; Buildings; Guidelines; Information science; Law; Management training; Ontologies; Probability; Training data; US Department of Energy;
Conference_Titel :
Information Technology: Coding and Computing [Computers and Communications], 2003. Proceedings. ITCC 2003. International Conference on
Print_ISBN :
0-7695-1916-4
DOI :
10.1109/ITCC.2003.1197525
