Multi-entity Bayesian networks for treasuring the Intangible Cultural Heritage

Abstract

In this paper, we propose the use of Multi-entity Bayesian networks (MEBNs) for modeling the knowledge and analyzing the content pertaining to the domain of Intangible Cultural Heritage (ICH). MEBNs provide a rigorous knowledge representation framework in conjunction with reasoning and probabilistic inference capabilities. There are mainly two reasons motivating the use of MEBNs in the domain of ICH. The first is that MEBNs extend first-order logic with the ability to model uncertainty. The second reason is the capability of MEBN to adapt to specific situations by providing custom, situation specific Bayesian networks. Finally, we use an example to demonstrate the potential efficiency of MEBNs in the domain of ICH.