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.
Other Authors: 57215677011
Format: Conference paper
Published: Springer Verlag 2023
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id my.uniten.dspace-29363
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spelling my.uniten.dspace-293632023-12-28T12:12:46Z Multilingual Ontology Learning Algorithm for Emails Beseiso M. Ahmad A.R. Ismail R. Taher M. 57215677011 35589598800 15839357700 56132245200 Multilingual Ontology Learning Semantic Email Semantic Web Intelligent systems Learning algorithms Semantic Web Soft computing End users Intelligent applications Multilingual ontologies Semantic layer Electronic mail 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. Final 2023-12-28T04:12:46Z 2023-12-28T04:12:46Z 2013 Conference paper 10.1007/978-3-642-40567-9_20 2-s2.0-84904613619 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904613619&doi=10.1007%2f978-3-642-40567-9_20&partnerID=40&md5=3ef753281fc461f9c2ee3e825d8ee15d https://irepository.uniten.edu.my/handle/123456789/29363 378 CCIS 229 244 Springer Verlag Scopus
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/
topic Multilingual Ontology Learning
Semantic Email
Semantic Web
Intelligent systems
Learning algorithms
Semantic Web
Soft computing
End users
Intelligent applications
Multilingual ontologies
Semantic layer
Electronic mail
spellingShingle Multilingual Ontology Learning
Semantic Email
Semantic Web
Intelligent systems
Learning algorithms
Semantic Web
Soft computing
End users
Intelligent applications
Multilingual ontologies
Semantic layer
Electronic mail
Beseiso M.
Ahmad A.R.
Ismail R.
Taher M.
Multilingual Ontology Learning Algorithm for Emails
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.
author2 57215677011
author_facet 57215677011
Beseiso M.
Ahmad A.R.
Ismail R.
Taher M.
format Conference paper
author 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
publisher Springer Verlag
publishDate 2023
_version_ 1806428378082836480
score 13.222552