Ontology-based approach for airdrome safety hotspots analysis

Abstract

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

CLC Number:

X949
V351

WANG Jiening, ZHAO Xiaopeng, ZHOU Yuan. Ontology-based approach for airdrome safety hotspots analysis[J]. .

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