Towards an Ontology Driven Spam Filter

ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops

Volumn , Issue , 2006, Pages

  Brewer, Douglas ^a   Thirumalai, Sujeeth ^a   Gomadam, Karthik ^a   Li, Kang ^a  

^a UNIVERSITY OF GEORGIA   (United States)

Author keywords

Ontology; Spam; Spam filter

Indexed keywords

BANDPASS FILTERS; ELECTRONIC MAIL; ONTOLOGY; SEMANTICS; TECHNICAL PRESENTATIONS;

BAYESIAN FILTERS; SPAM; SPAM FILTER; TRAINING METHODS; UNSOLICITED MAILS;

INTERNET;

EID: 34748853886     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2006.151     Document Type: Conference Paper

References (13)

1. T. Gruber, What is an Ontology?, http://www-ksl.stanford.edu/kst/what-is-An-ontology.html.
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4. O. Kolesnikov et al., Filtering spam using search engines, 2003.
5. Protege, http://protege.stanford.edu.
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7. C.D. Manning and H. Schuetze, Foundations of statistical natural language processing, MIT Press. Cambridge, MA: May 1999.
8. Natalya F. Noy and Deborah L. McGuinness, Ontology Development 101: A Guide to Creating Your First Ontology.
9. World Wide Web Consortium, Semantic Web, www.w3.org/2001/sw.
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11. David Madigan, Statistics and the War on Spam, Statistics, A Guide to the Unknown, 2003.
12. Apache Software Foundation, Spam Assassin, http://spamassassin.apache.org/.
13. B. Cui, A. Mondal, et al., On Effective E-mail Classification via Neural Networks, DEXA, 2005, 85-94.