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

被引：0
作者：
D'Aniello, Giuseppe [1 ,2 ]
Gaeta, Angelo [1 ]
Loia, Vincenzo [3 ]
Orciuoli, Francesco [3 ]
机构：
[1] Univ Salerno, DIEM, Fisciano, Italy
[2] Univ Salerno, CORISA, Fisciano, Italy
[3] Univ Salerno, DISA MIS, Fisciano, Italy
来源：
2016 IEEE INTERNATIONAL MULTI-DISCIPLINARY CONFERENCE ON COGNITIVE METHODS IN SITUATION AWARENESS AND DECISION SUPPORT (COGSIMA) | 2016年
关键词：
Situation Awareness; Intelligent agents; Ontologies; Fleet management;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：138 / 144
页数：7
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