Bayesian networks (BNs) can capture interdependencies among ontology mapping methods and thus possibly improve the way they are combined. Experiments on ...

Bayesian networks (BNs) can capture interdependencies among ontology mapping methods and thus possibly improve the way they are combined.

Bayesian networks (BNs) can capture interdependencies among ontology mapping methods and thus possibly improve the way they are combined.

Bayesian networks (BNs) can capture interdependencies among ontology mapping methods and thus possibly improve the way they are combined.

Title: Combining Ontology Mapping Methods Using Bayesian Networks. On-line PDF Version: om06.pdf. Name of Workshop: International Workshop on Ontology ...

Abstract. Bayesian networks (BNs) can capture interdependencies among ontology mapping methods and thus possibly improve the way they are combined.

In this approach, the source and target ontologies are first translated into Bayesian networks (BN); the concept mapping between the two ontologies are treated ...

By integrating Bayesian network (BN) modeling and ontology, our framework enables robust decision-making and fosters knowledge sharing. Key to our approach is ...

Dec 25, 2019 · Most current ontology mapping systems, as can be seen, combine different techniques to accomplish high efficiency. Our method is based on the ...

This paper aims to propose a practical risk analysis framework across the project lifecycle with Bayesian Networks (BNs). Design/methodology/approach The ...