Research on the Construction Method of Geographic Knowledge Graph Based on BiLSTM-CRF and Bert-BiGRU-Attention Network
Geographic knowledge graph is a key technology to provide geographic knowledge services,and its automatic con-struction is of great significance for developing geographic artificial intelligence applications.In order to address the problem of auto-matic construction of geographic knowledge graph,a method is proposed to construct domain geographic knowledge graph based on BiLSTM-CRF network for extracting geographic entities and Bert-BiGRU-Attention network for extracting orientation relations.The experimental results show that the entities and their orientation information in geographic knowledge graph constructed based on the proposed method are relatively complete with high recall and precision.The method proposed in this paper can meet the require-ments of graph construction and can fully describe the geographic entities and their complex orientation relationships in the real world.
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