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...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Conference paper |
Published: |
Springer Verlag
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-29363 |
---|---|
record_format |
dspace |
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 |