Knowledge map construction method, device, electronic equipment and storage medium

Abstract

The present invention relates to big data technology, and discloses a method for constructing a knowledge map, including: extracting entity information and related relationships in an original data set, creating node attributes and node relationships according to the entity information and related relationships; analyzing the corresponding information of the original data set A business data table to obtain a header information set; correspond the header information set to the node attributes and node relationships through entity links to obtain node attribute values ​​and node relationship values, and summarize the node attribute values ​​and node relationship values to the analytical value set; according to the analytical value set and the pre-built graph query statement template, a standard graph query statement is obtained, and according to the standard graph query statement, a knowledge map is obtained. In addition, the present invention also relates to block chain technology, and the original data set can come from a block chain node. The invention also proposes a knowledge map construction device, electronic equipment and storage media. The present invention can reduce the threshold of knowledge map construction.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to a knowledge map construction method, device, electronic equipment and computer-readable storage medium. Background technique [0002] Under the background of big data, the scale of data is expanding rapidly, the data forms are diverse, and the requirements for data applications are also increasing. With the expansion of business, the amount of data has increased sharply, leading to the gradual emergence of the storage capacity problem of a single data node. Simply expanding the hard disk to improve storage capacity will increase the risk of failure, resulting in data loss, server downtime and other phenomena. [0003] As a new data form, knowledge graph can solve the problem of data node storage capacity by extracting and unifying associated data entities. Under the existing technology, using a graph database to construct and store knowledge graphs has the following de...

AI Technical Summary

Problems solved by technology

Under the existing technology, using a graph database to construct and store knowledge graphs has the following defects: 1. For the user interface, the graph database itself only provides an interactive interface based on the Cypher language, and different Cypher statements are required for different data. When it is too large, a large number of Cypher statements are required, which will take up a lot of computer resources and be unfriendly to operate

2. Professional R&D personnel are required to write the Cypher language to create and query graphs, so it is very difficult for non-R&D personnel to define a knowledge graph in the graph database, and it is basically impossible to operate

Images