Knowledge graph construction method and device, computer storage medium and terminal

Abstract

The invention discloses a knowledge graph construction method and a device, a computer storage medium and a terminal. The method comprises the steps of obtaining event related data; analyzing the obtained event related data to obtain decision behavior information and decision influence information of each event; constructing a knowledge graph according to the obtained decision behavior informationand decision influence information of each event; wherein the event related data comprises one or any combination of event processing data, enterprise internal process data, sales analysis data, public opinion analysis data and other unclassified associated data. According to the method of the invention, the knowledge graph is constructed based on the decision behavior information and the decision influence information of the event, the application efficiency of enterprise internal data is improved, and information support is provided for improving the enterprise decision quality.

Description

technical field [0001] This article involves but is not limited to information analysis technology, especially a method, device, computer storage medium and terminal for building a knowledge map. Background technique [0002] At present, most of the decision-making in the enterprise depends on the data of business processing, and the decision-making obtained through the data can effectively improve the processing speed and efficiency of the enterprise business; but at present, the data in the enterprise is mostly scattered, which cannot provide data support for enterprise decision-making. figure 1 It is a schematic diagram of the internal structure of the enterprise, such as figure 1 As shown, the enterprise contains multiple departments, and different departments use different systems. Events (failure recalls, honor awards, employee violations, etc.) that have occurred in different departments usually lead to different decisions. The way of document recording is stored in ...

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Problems solved by technology

[0002] At present, most of the decision-making in the enterprise relies on the data of business processing, and the decision-making obtained through the data can effectively improve the processing speed and efficiency of the business of the enterprise; but at present, the data in the enterprise is mostly scattered, which cannot provide data support for enterprise decision-making

figure 1 It is a schematic diagram of the internal structure of the enterprise, such as figure 1 As shown, the enterprise contains multiple departments, and different departments use different systems. Events (failure recalls, honor awards, employee violations, etc.) that have occurred in different departments usually lead to different decisions. The way of document recording is stored in different systems; due to the scattered storage of event and decision-making information, for different decisions that affect different decisions, enterprise personnel cannot refer to existing data in various aspects for enterprise decision-making. Therefore, enterprise decision-making may not be available Expected effect; In addition, although there are a large number of internal processes in the enterprise that can help enterprise personnel determine corporate decisions: institutional documents, organizational structure documents, accident summary documents, meeting documents, etc., it takes a lot of time and effort to consult these documents , so that these data cannot be used effectively

[0003] To sum up, currently the data that can be used to assist enterprise decision-making is generally scattered in the systems of different departments, and enterprise personnel cannot effectively make enterprise decisions. How to improve the application efficiency of enterprise internal data and the quality of enterprise decision-making has become a problem to be solved

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