Paper Info
Title
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.
Year
DOI
Venue
2016
10.1109/COGSIMA.2016.7497801
2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)
Keywords
DocType
Citations 
Situation Awareness,Intelligent agents,Ontologies,Fleet management
Conference
2
PageRank 
References 
Authors
0.38
5
4
Name
Order
Citations
PageRank
Giuseppe D'Aniello1298.50
angelo gaeta214015.70
Vincenzo Loia31792148.86
Francesco Orciuoli433538.75