Modeling Incomplete Knowledge of Semantic Web Using Bayesian Networks
Interoperable ontologies already exist in the biomedical field, enabling scientists to communicate with minimum ambiguity. Unfortunately, ontology languages, in the semantic web, such as OWL and RDF(S), are based on crisp logic and thus they cannot handle uncertain knowledge about an application fie...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2019-09-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2019.1661578 |