PR-OWL Decision: Toward Reusable Ontology Language for Decision Making under Uncertainty

Decision making is a big topic in Intelligence, Defense, and Security fields. However, very little work can be found in the literature about ontology languages that simultaneously support decision making under uncertainty, abstractions/generalizations with first-order expressiveness, and forward/backward compatibility with OWL—a standard language for ontologies. This work proposes PR-OWL Decision, a language which extends PR-OWL—an extension of OWL to support uncertainty—to support first-order expressiveness, decision making under uncertainty, and backward/forward compatibility with OWL and PR-OWL. Keywords—ontology, decision making, uncertainty, OWL