Integrating GSO and SAW ontologies to enable Situation Awareness in Green Fleet Management

Abstract

The definition of a Situation Awareness system is a challenging task that must be guided by some design principles like, for instance, organizing information around goals and supporting trade-off between goal-driven and data-driven information processing. This paper reports the results about the definition of a system for Green Fleet Management that synergistically exploits goal-driven and data-driven information processing to support Situation Awareness. These results are achieved by defining a framework based on the integration of several existing ontologies, which formalize and link actionable knowledge on goals and situations, with agents able to perform inference on it. Such a framework, which is generally applicable to heterogeneous domains, is also one of the main results of this work. The system has been evaluated by using the SAGAT method.