Making a planning system understandable is not just a matter of adding on an explanation generator to some arbitrary plan representation. That approach tends not to work because the arbitrary representations fail to capture distinctions that are needed for good explanations. Providing good explanations is a pervasive concern that not only affects the explanation generator but also the underlying planning representation from which the explanations are generated. The goal here is to try to create representations for planning that reduce the gap between the computer representation and the way that human planners talk about the planning they do. This was a meeting of the UK Enterprise Project partners to discuss the enterprise ontology for the project and to look in particular at existing ontologies and their potential contribution.
More information is available here .
The important part is the tables showing contributing ontologies and the list of ontology elements that the participants of the workshop felt the various contributions were particularily strong in. It also lists required elements for an enterprise ontology as required for the Enterprise project.