Abstract: With the arrival of the big data era,the relationship that needs to be processed in various industries has increased exponentially,and there is an urgent need for a data model that supports the ability to express massive complex relationship,that is,domain knowledge graph.Although the domain knowledge graph has shown great potential,it is not difficult to find that there is still a lack of mature construction technologies and platforms.It still remains an important challenge to construct domain know-ledge graph rapidly.After the systematic study of domain knowledge graph,a method is proposed to construct domain knowledge graph based on property graph model.Concretely,for structured and semi-structured data stored in a variety of databases,the method completes the construction of the high-quality graph model by graph database data communication protocol,multiple configuration methods of entity and relation schema,etc.Then,the data from the original database is extracted,transformed and loa-ded into the property graph database HugeGraph,completing the construction of domain knowledge graph.Finally,experiments on multiple datasets and test results of Gremlin statement show that the proposed method is complete and reliable.

Key words: Domain knowledge graph, Graph database, HugeGraph, Knowledge graph construction, Property graph model