Multilingual Ontology Learning Algorithm for Emails

The e-mails used for personal or business proposals are becoming more and more difficult to manage. The abundant/overhead of e-mails and the lack of assistance from e-mail clients will certainly lead to losing tracks of information contained in e-mails. The multilingual nature of e-mails makes this...

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Main Authors: Beseiso, M., Ahmad, A.R., Ismail, R., Taher, M.
Format: Conference Paper
Language:English
Published: 2017
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spelling my.uniten.dspace-67122018-01-26T00:52:09Z Multilingual Ontology Learning Algorithm for Emails Beseiso, M. Ahmad, A.R. Ismail, R. Taher, M. The e-mails used for personal or business proposals are becoming more and more difficult to manage. The abundant/overhead of e-mails and the lack of assistance from e-mail clients will certainly lead to losing tracks of information contained in e-mails. The multilingual nature of e-mails makes this situation even worse. In this research, we have explained the necessity for utilizing multilingual ontology learning processes to solve this problem. We have proposed the multilingual ontology learning algorithm for semantic email. The proposed algorithm is designed to handle the unstructured emails. This will lead to intelligent applications and information extraction for email users while keeping the semantic layer opaque to the end user. © Springer-Verlag Berlin Heidelberg 2013. 2017-12-08T10:05:57Z 2017-12-08T10:05:57Z 2013 Conference Paper 10.1007/978-3-642-40567-9_20 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description The e-mails used for personal or business proposals are becoming more and more difficult to manage. The abundant/overhead of e-mails and the lack of assistance from e-mail clients will certainly lead to losing tracks of information contained in e-mails. The multilingual nature of e-mails makes this situation even worse. In this research, we have explained the necessity for utilizing multilingual ontology learning processes to solve this problem. We have proposed the multilingual ontology learning algorithm for semantic email. The proposed algorithm is designed to handle the unstructured emails. This will lead to intelligent applications and information extraction for email users while keeping the semantic layer opaque to the end user. © Springer-Verlag Berlin Heidelberg 2013.
format Conference Paper
author Beseiso, M.
Ahmad, A.R.
Ismail, R.
Taher, M.
spellingShingle Beseiso, M.
Ahmad, A.R.
Ismail, R.
Taher, M.
Multilingual Ontology Learning Algorithm for Emails
author_facet Beseiso, M.
Ahmad, A.R.
Ismail, R.
Taher, M.
author_sort Beseiso, M.
title Multilingual Ontology Learning Algorithm for Emails
title_short Multilingual Ontology Learning Algorithm for Emails
title_full Multilingual Ontology Learning Algorithm for Emails
title_fullStr Multilingual Ontology Learning Algorithm for Emails
title_full_unstemmed Multilingual Ontology Learning Algorithm for Emails
title_sort multilingual ontology learning algorithm for emails
publishDate 2017
_version_ 1644494005708259328
score 13.160551