Abstract:
Communication is very important thing around the world. Because of the current situation and
development of the technology as well there are lots of methods were used by people. As well
as communication methods are increased day by day. Among those communication methods,
email is an important and famous method. When it comes to email, basically there are three tabs
in the inbox of email account. The primary tab is a one of them. When it comes to the primary
tab lots of types of emails are received to this tab. Some of them are academic purpose emails,
google forms, security alerts and conference invitations. Considering those types of emails, in
this research, researcher has been tried to categorize those emails under few categories. For doing this task researcher has used “clustering” emails according to similarity values of each email
contents which has been got by comparing contents of each email messages. In this research
the agglomerative hierarchical clustering algorithm is used for clustering email contents because uses of this clustering algorithm is very rare comparing with other algorithms. Although
there are few methods for calculating similarity values, co-sign similarity and ontology based
similarity methods were used separately for this research. The main objective of the research
is developing an algorithm for email clustering using ontology based similarity calculation, an
addition to main objective researcher has compared both of similarity calculation methods and
accuracy of both similarity value calculation methods are measured as specific objective of the
research. When it comes to end of the research, categorizing emails will be very useful for
email users for their day to day activities.
