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Spam Email Classification using an Adaptive Ontology
2007
Journal of Software
Email has become one of the fastest and most economical forms of communication. However, the increase of email users has resulted in the dramatic increase of spam emails during the past few years. As spammers always try to find a way to evade existing filters, new filters need to be developed to catch spam. Ontologies allow for machine-understandable semantics of data. It is important to share information with each other for more effective spam filtering. Thus, it is necessary to build ontology
doi:10.4304/jsw.2.3.43-55
fatcat:xyban7golffhpfblbbbnqmc47q