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).
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Official URL: http://dx.doi.org/10.1109/icriis.2011.6125727
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | reasoning about uncertainities, Probabilistic ontologies, ontology leaning, ontology reasoning |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Computing |
| ID Code: | 46173 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 10 Jun 2015 03:01 |
| Last Modified: | 28 Aug 2017 01:11 |
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