Library-style Ontologies to Support Varying Model Views

The next development in building Bayesian networks will most likely entail constructing multipurpose models that can be employed for varying tasks and by different types of user. We argue that the development of an ontology to organize the knowledge needed for such a multipurpose model is crucial for the management of the model’s content. This ontology should preserve all elicited knowledge and be accessible to both domain experts and knowledge engineers. Based on the different ways in which people learn and gain expertise, we further argue that knowledge elicitation will result in task-specific knowledge mostly, although some task-neutral knowledge will emerge as well. To support varying model views, this combination of knowledge is best stored in a library-style ontology of taskspecific and task-neutral modules.

• Type: Conference
• Year: 2007
• Where: UAI
• Authors: Hermina J. M. Tabachneck-Schijf, Linda C. van der Gaag
• Keywords: Likely Entail, Multipurpose Model, Ontology, UAI 2007, UAI 2008