Presentation	2004/1/19 E-mail Filtering by Relation Learning Motonobu OKUMURA, Ning ZHONG,
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Abstract(in English)	E-mail has been becoming a frequently used and accepted means of communication in the school, business environment. The mailbox of a user may often be crammed with e-mail messages some or even a large portion of which are not of interest to her/him. Such flood of e-mail messages has created a need for developing an intelligent agent that automate the selection, sorting, storage, reply, and retrieval of e-mails. This paper addresses using relation learning and ontologies for personal e-mail filtering and management.
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Keyword(in English)	ILP / relation learning / text classification / ontologies / E-mail filtering
Paper #	KBSE2003-33
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Conference Information
Committee	KBSE
Conference Date	2004/1/19(1days)
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Paper Information
Registration To	Knowledge-Based Software Engineering (KBSE)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	E-mail Filtering by Relation Learning
Sub Title (in English)
Keyword(1)	ILP
Keyword(2)	relation learning
Keyword(3)	text classification
Keyword(4)	ontologies
Keyword(5)	E-mail filtering
1st Author's Name	Motonobu OKUMURA
1st Author's Affiliation	Department of Information Engineering, Maebashi Institute of Technology()
2nd Author's Name	Ning ZHONG
2nd Author's Affiliation	Department of Information Engineering, Maebashi Institute of Technology
Date	2004/1/19
Paper #	KBSE2003-33
Volume (vol)	vol.103
Number (no)	603
Page	pp.pp.-
#Pages	5
Date of Issue