Migration knowledge graph framework and its application

Abstract

Abstract Comprehensive knowledge of migration involves many fields, such as demographic, economic, social, and political. However, the results of migration theme knowledge retrieval and query are often the knowledge of a single domain, lacking of direct association between different fields. A spatiotemporal migration knowledge graph framework based on migration datasets and Baidu Encyclopedia is presented, and the validity and accuracy of the model are verified by an experiment implemented on the data of 2000. Visualization and Neo4j graph database technologies are used to migration knowledge graph framework which is perfectly adequate for both human beings and machine processing such as graph mining and knowledge reasoning. The migration knowledge graph can quickly and accurately obtain the comprehensive knowledge of migration, significantly improve the ability of human being to apply and analyze the knowledge and data of migration, which has wide theoretical and practical value in the field of migration.