Abstract:

Based on the analysis of the civil aviation emergency management domain ontology and its storage features, we propose a domain ontology storage method based on HBase. The storage data of domain ontology metadata and the instance data are stored separately. We describe domain ontology classification, the metadata of attribute information, and the storage model of RDF instance data, as well as the current loading process of RDF data  based on MapReduce. Combining with practical applications, a basic graph pattern query algorithm of domain ontology based on HBase API is implemented. We analyze the experimental results in the Hadoop environment, which show that the proposed method can provide theoretical support and a new method for storing the huge data of civil aviation emergency management domain ontology.

Key words: civil aviation emergency management;domain ontology;RDF;storage model;HBase