Construction and Application of a Knowledge Graph

With the development and improvement of modern surveying remote-sensing technology, data in fields remote sensing have grown rapidly. Due to characteristics large-scale, heterogeneous diverse surveys loose organization data, effectively obtaining information knowledge from can be difficult. Therefore, this paper proposes a method using ontology for integration. Based on heterogeneous, decentralized, dynamic updates large constructs graph applications. First, are extracted. Second, editing tool Protégé, mode level is constructed. Then, relational database, stored, D2RQ maps level’s layer. tool, SPARQL protocol resource description framework query language (SPARQL) endpoint service used describe functions such as reasoning graph. The database then display Finally, correlation between sensing.