Sensor Ontology Integration for the Knowledge Management for Distributed-Tracking (KMDT) Program

This paper describes Knowledge Management for Distributed-Tracking (KMDT), which is an ongoing research and development project to explore methods to improve military functions in the battle space, such as command, control, and decision support. It features a hypothetical use-case scenario that shows how knowledge-management technologies, such as ontologies and intelligent agents, can be used to improve battle-space awareness and the decision-making process in command centers with respect to distributed tracking and threat identification of platforms. The KMDT sensor ontology is based partly on concepts described in the MIL-STD-2525B and STANAG 4420 specifications, which define symbology to represent level-one data-fusion information, such as the classification of platforms and targets in the battle space. The paper includes a discussion of ontologyintegration examples of this with this symbology as it relates to fusion and tracking. Topics: Autonomous agents, command and control, decision support, knowledge management, MILSTD-2525B, modeling and simulation, ontology, sensors, STANAG 4420, symbols, tracking