Design and implementation of knowledge graph of listed companies based on Neo4j
Xuzhong Chen · 2022
In the era of big data, the topic, how to use modern technology to build a suitable and perfect database for a specific demand, has become heated-discussed. The expectation given to databases is that database can organize the data, correlate the different data representations and mine data value. These requirements are in line with the original design intent of Neo4j graph database. This paper constructs the knowledge graph of listed companies based on Neo4j. The result shows that the knowledge graph, as a powerful form of graphical database, can sort out and mine the relationship between data. At the same time, it also provides a reliable system for the public to learn and understand all kinds of information of listed companies.