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Probabilistic ontologies and probabilistic ontology learning: significance and challenges

Human knowledge is limited therefore some information is incomplete or contradictory. When we develop an ontology, using an automatic ontology learning system or by human, with such information, the ontology would be inconsistent or we need to manage uncertain information. In non probabilistic appro...

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Main Authors: Foudeh, Pouya, Salim, Naomie
Format: Conference or Workshop Item
Published: 2011
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/46173/
http://dx.doi.org/10.1109/icriis.2011.6125727
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id my.utm.46173
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spelling my.utm.461732017-08-28T01:11:18Z http://eprints.utm.my/id/eprint/46173/ Probabilistic ontologies and probabilistic ontology learning: significance and challenges Foudeh, Pouya Salim, Naomie T Technology (General) Human knowledge is limited therefore some information is incomplete or contradictory. When we develop an ontology, using an automatic ontology learning system or by human, with such information, the ontology would be inconsistent or we need to manage uncertain information. In non probabilistic approach, system discovers inconsistencies and then eliminates some parts of ontology to make it consistent. On the other hand, in probabilistic approach, discrepancies are adapted in the ontology. 2011 Conference or Workshop Item PeerReviewed Foudeh, Pouya and Salim, Naomie (2011) Probabilistic ontologies and probabilistic ontology learning: significance and challenges. In: International Conference On Research And Innovation In Information Systems (Icriis 2011). http://dx.doi.org/10.1109/icriis.2011.6125727
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Foudeh, Pouya
Salim, Naomie
Probabilistic ontologies and probabilistic ontology learning: significance and challenges
description Human knowledge is limited therefore some information is incomplete or contradictory. When we develop an ontology, using an automatic ontology learning system or by human, with such information, the ontology would be inconsistent or we need to manage uncertain information. In non probabilistic approach, system discovers inconsistencies and then eliminates some parts of ontology to make it consistent. On the other hand, in probabilistic approach, discrepancies are adapted in the ontology.
format Conference or Workshop Item
author Foudeh, Pouya
Salim, Naomie
author_facet Foudeh, Pouya
Salim, Naomie
author_sort Foudeh, Pouya
title Probabilistic ontologies and probabilistic ontology learning: significance and challenges
title_short Probabilistic ontologies and probabilistic ontology learning: significance and challenges
title_full Probabilistic ontologies and probabilistic ontology learning: significance and challenges
title_fullStr Probabilistic ontologies and probabilistic ontology learning: significance and challenges
title_full_unstemmed Probabilistic ontologies and probabilistic ontology learning: significance and challenges
title_sort probabilistic ontologies and probabilistic ontology learning: significance and challenges
publishDate 2011
url http://eprints.utm.my/id/eprint/46173/
http://dx.doi.org/10.1109/icriis.2011.6125727
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score 13.211869

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