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Information atlas construction method and device, equipment, storage medium and program product

A construction method and map technology, applied in the field of big data, can solve the problems of single analysis method, high error rate of analysis results, weak scalability of external data, etc., to achieve the effect of easy data analysis and improved scalability

Pending Publication Date: 2022-02-18
见知数据科技(上海)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned analysis method is single, resulting in a high error rate of analysis results, and the scalability with external data is weak

Method used

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  • Information atlas construction method and device, equipment, storage medium and program product
  • Information atlas construction method and device, equipment, storage medium and program product
  • Information atlas construction method and device, equipment, storage medium and program product

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Embodiment Construction

[0036] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0037] The information map construction method provided by the embodiment of this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. The data storage system can store data that needs to be processed by the server 104 . The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. Among them, the terminal 102 can be, but not limited to, various personal computers, notebook computers, smart phones, tablet comput...

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Abstract

The invention relates to an information graph construction method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: obtaining text tags and entity tags in multiple data texts, wherein each data text comprises original flow data and / or atlas data in a constructed information atlas; obtaining relation information according to the text labels corresponding to the data texts; constructing a plurality of graph triads according to the relation information and the entity labels corresponding to the data texts; and performing connection and combination processing on each graph triple to obtain an information graph of the plurality of data texts, wherein the information graph is used for performing data analysis on the plurality of data texts. By adopting the method, the accuracy of an analysis result and the expansibility between the analysis result and external data can be improved.

Description

technical field [0001] The present application relates to the technical field of big data, and in particular to an information map construction method, device, computer equipment, storage medium and program product. Background technique [0002] With the advent of the era of big data and the strengthening of relevant supervision by the state, how to obtain effective information from massive data has been widely studied by everyone. [0003] Bank flow data, which can best reflect the facts of economic activities, is particularly important in big data analysis. If the transaction intention and risk insight can be automatically obtained from the massive bank flow data of individuals or enterprises, it will provide a strong support for regulatory and financing institutions. Strong support. In related technologies, the flow data is usually classified according to keywords, and data perspective analysis is performed on the basis of dimensions such as the name of the counterparty,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F40/289
CPCG06F16/367G06F40/289
Inventor 何川郭晨晨
Owner 见知数据科技(上海)有限公司
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