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An Intelligent Ground Vehicle Ontology for Multi-Agent System Integration

Published

Author(s)

Craig I. Schlenoff, R Washington, Anthony J. Barbera

Abstract

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 Prot?g?. 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.
Proceedings Title
Proceedings of the 2005 Knowledge Intensive Multi-Agent Systems (KIMAS) Conference
Conference Dates
April 18-21, 2005
Conference Location
Waltham, MA
Conference Title
2005 Knowledge Intensive Multi-Agent Systems (KIMAS) Conference

Keywords

4D/RCS, intelligent ground vehicle, Knowledge Engineering, ontology, OWL-S, Protege, Robotics & Intelligent Systems, tactical behaviors, Unmanned System

Citation

Schlenoff, C. , Washington, R. and Barbera, A. (2006), An Intelligent Ground Vehicle Ontology for Multi-Agent System Integration, Proceedings of the 2005 Knowledge Intensive Multi-Agent Systems (KIMAS) Conference, Waltham, MA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822676 (Accessed July 16, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created June 27, 2006, Updated February 17, 2017