RETRACTED ARTICLE: Uncertainty modeling based on Bayesian network in ontology mapping
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How to deal with uncertainty is crucial in exact concept mapping between ontologies. This paper presents a new framework on modeling uncertainty in ontologies based on bayesian networks (BN). In our approach, ontology Web language (OWL) is extended to add probabilistic markups for attaching probability information, the source and target ontologies (expressed by patulous OWL) are translated into bayesian networks (BNs), the mapping between the two ontologies can be digged out by constructing the conditional probability tables (CPTs) of the BN using a improved algorithm named I-IPFP based on iterative proportional fitting procedure (IPFP). The basic idea of this framework and algorithm are validated by positive results from computer experiments.
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- RETRACTED ARTICLE: Uncertainty modeling based on Bayesian network in ontology mapping
Wuhan University Journal of Natural Sciences
Volume 11, Issue 5 , pp 1132-1136
- Cover Date
- Print ISSN
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- Bayesian network
- conditional probability table (CPT)
- improved-iterative proportional fitting procedure (I-IPFP)
- TP 301.6
- Industry Sectors