An intelligent ground vehicle ontology for multi-agent system integration

The level of automation in ground combat vehicles being developed for the Army's objective force is greatly increased over the Army's legacy force. The development of these intelligent ground vehicles (IGV) requires a thorough understanding of all of the intelligent behavior that needs to be exhibited by the system so that designers can allocate functionality to humans and/or machines. In this paper, we describe the joint effort currently being performed by DCS Corporation and NIST to develop an intelligent ground vehicle (IGV) ontology using Protege. The goal of this effort is to develop a common, implementation-independent, extendable knowledge source for researchers and developers in the intelligent vehicle community. This paper describes the methodology we have used to identify knowledge in this domain and an approach to capture and visualize the knowledge in the ontology.