Knowledge graph construction method and system

Abstract

The invention relates to a knowledge graph construction method, which comprises the steps of receiving data in real time after graph library cluster configuration is completed; analyzing the ID numberand each key value pair in the data, judging the type of the data, and if the type of the data is an event with a time attribute, creating a new event node by using the ID number, or modifying a corresponding attribute value in the original event node in the picture library by using the key value pair. The knowledge graph constructed through the method is a real-time attribute graph with enterprises, natural persons and events as main bodies, the semantic consistency is guaranteed, the semantics are clear, the reusability is high, a graph library does not need to be created for different scenes, and more information can be constructed in the graph in the connection mode.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and system for constructing a knowledge map. Background technique [0002] Big data refers to massive, high-growth, and diverse information assets. Knowledge Graph, also known as scientific knowledge graph, is a series of different graphs showing knowledge development process and structural relationship, using visualization technology to describe knowledge resources and their carriers, mining, analyzing, constructing, drawing and displaying knowledge and the interrelationships between them. Big data is usually represented by a knowledge graph. From data acquisition to map construction, there are a wide variety of technical implementation methods, and the final results vary widely. The difficulty lies in how to extract comprehensive and valuable information and map it into the map, and how the data in the map can be conveniently and effectively used by ...

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