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.

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

D'ANIELLO, GIUSEPPE;GAETA, Angelo;LOIA, Vincenzo;ORCIUOLI, Francesco
2016-01-01

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.
2016
9781509006328
9781509006328
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4670375
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