Visualization method for government affair big data full-life-cycle government

Abstract

The invention relates to a visualization method for government affair big data full-life-cycle government, and the method comprises the steps: constructing an overall skeleton structure of a directedacyclic relation graph according to the context association relation of data resources in a full-life-cycle state; and according to log information dynamically generated in each link of data governance, driving various data resource nodes to be switched in different life cycle stage scenes, and timely and dynamically responding to distinguish and display state information and link directions of the data resources during switching of different life cycle states. According to a visual expression model, the multi-source data association relationship and the data transfer state are reflected by using a visual display means, so that data analysts can quickly and accurately obtain required information.

Description

technical field [0001] The invention belongs to the technical field of multi-source data processing, and specifically relates to a visualization method for full life cycle management of government affairs big data. Background technique [0002] In the field of smart city construction and big data analysis, decision-making relies on accurate and effective information. Therefore, massive data resources are obtained from various business scenarios through various technical means, and combined with corresponding business rules for processing, fusion and analysis. , to form sustainable information resources, so as to support the urgent demand for information in applications in various fields. At present, in the complete chain from the input of original data to the output of specific information resources, due to unclear sources of data generation, unclear data correlation, unclear data processing logic, complex data fusion and analysis, etc., a series of unclear contexts surround...

AI Technical Summary

Problems solved by technology

However, due to data resource generation, processing, multi-data fusion, service-oriented interface encapsulation, and business application software use, the data has undergone major changes in form and content during this series of links. It is difficult to use only a large number of spreadsheets. Support and present the changes of data resources in a series of circulation links and the cohesion relationship between the front and back, especially for the interweaving of various types of huge data resources, the "blood relationship" and "content link" of this data are even more important. It is difficult to grasp and understand, so there is an urgent need for an information presentation method and expression method to solve the above problems

Images