Building Bayesian networks through ontologies
Eveline M. Helsper, Linda C. van der Gaag · European Conference on Artificial Intelligence · 2002
To support building and maintaining knowledge-based systems for real-life application domains, sophisticated knowledge-engineering methodologies are available. As more and more Bayesian networks are being developed for complex applications, their construction and maintenance calls for the use of tailor-made knowledge-engineering methodologies. We have designed such a methodology and have studied its use within the domain of oesophageal cancer. Based upon expert knowledge and a previously constructed Bayesian network, we have built an ontology for this domain, from which we have constructed, in a sequence of steps, a new network. The use of our methodology has allowed us to address, in a structured fashion, the various intricate modelling issues involved.