22nd International Conference on Data Engineering Workshops (ICDEW'06) 2006
DOI: 10.1109/icdew.2006.151
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Towards an Ontology Driven Spam Filter

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Cited by 7 publications
(4 citation statements)
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“…Refs. [21,22] are examples of the work done in this field. On the other hand, the proposed scheme is based on a central server that connects different users who want to submit a query.…”
Section: Operational Considerationsmentioning
confidence: 99%
“…Refs. [21,22] are examples of the work done in this field. On the other hand, the proposed scheme is based on a central server that connects different users who want to submit a query.…”
Section: Operational Considerationsmentioning
confidence: 99%
“…A group of these methods are Bayesian filters. Even some methods for study of the semantics of emails have been developed to identify spams [9]. In these methods by using a given ontology the contents of the emails are investigated and if the relation between various parts of an email is the same as the items available in spams, that letter will be deemed to be spam.…”
Section: Related Workmentioning
confidence: 99%
“…Spam now accounts for over half of all e-mail traffic [7]. More than 60% of all emails sent worldwide in May 2005 have been identified as spam [8]. The increase of email users has resulted in the dramatic increase of spam emails during the past few years [9].…”
Section: ⅰ Introductionmentioning
confidence: 99%
“…Ontology-driven method is an alternative to overcome such limitation. There are some works for finding an efficient spam email filtering with the application of ontology [8][9][10].…”
Section: ⅰ Introductionmentioning
confidence: 99%