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基于本体的机场安全热点特征分析方法

王洁宁1,赵晓鹏1,周沅2   

  1. (1.taptap下载安装安卓天津市空管运行规划与安全技术重点实验室,天津300300;2.民航华东地区空管局,上海200335)
  • 收稿日期:2015-11-27 修回日期:2015-12-31 出版日期:2016-08-26 发布日期:2016-10-13
  • 作者简介:王洁宁(1966—),男,甘肃兰州人,研究员,博士,研究方向为空管运行安全及空管系统仿真.
  • 基金资助:

    中央高校基本科研业务费专项(3122013P008,3122014P040);国家空管委基金项目(GKG201410003)

Ontology-based approach for airdrome safety hotspots analysis

WANG Jiening1, ZHAO Xiaopeng1, ZHOU Yuan2   

  1. (1. Tianjin Key Lab of ATM Operation Planning and Safety Techniques, CAUC, Tianjin 300300, China;2. Air Traffic Control Bureau of East China, Shanghai 200335, China)
  • Received:2015-11-27 Revised:2015-12-31 Online:2016-08-26 Published:2016-10-13

摘要:

针对民用机场热点特征识别与分类需求,在Protege中构建机场热点的顶层概念框架并描述逻辑(DLs)表达,引入对机场安全热点在不同层面形式化的描述,建立机场安全热点领域本体,以FaCT++推理机将热点按不同特征分类推理。该方法的意义在于为机场热点特征识别信息化和热点分类协同工作的全过程提供了一定的语义支撑袁管制员可以直观、全面地掌握热点区域状况。

关键词: 机场安全热点, 顶层概念, 领域本体, FaCT++, 热点分类

Abstract:

According to the demands for characteristics identification and classification of civil airdrome hotspots, the toplevel concept framework of hotspots is built using with Protege tool, the core terminology is validated by descriptive logics, introducing formalized description of airport safety hot spots at different levels. A domain ontology is established, in which hotspots are classified in accordance with features based on FaCT++. This approach has benefits on common knowledge construction of airport hotspots identification and classification. It can also help controllers to know hotspots' risk level directly and completely.

Key words: airdrome safety hotspots, top-level concept, domain ontology, FaCT++, hotspots classification

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