OntRAT: Ontology-based rules acquisition tool
Ahmed BinSubaih · 2005
Virtual training environments require a flexible sc enario creation system that can accommodate differe nt training scenarios to address a wide range of situa tions for different levels of trainee expertise. He nce, the scenario logic or behaviour should not be hard-code d in the simulation engine and should be accessible to the trainer or domain expert. We present a rules ac quisition tool called OntRAT that combines an ontol ogy that represents and stores knowledge in a struc tured format and remains at a high-level of abstrac tion which is accessible by domain experts, and a set of rules that enables reasoning about the knowledge t o solve problems. We demonstrate the use of OntRAT for a particular virtual environment we have built, showing how it facilitates knowledge representation that is accessible by domain-experts, end-users, a nd developers.