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Meta-model conversion method based on graph database, and management system

A conversion method and management system technology, applied in the field of meta-model conversion and management system based on graph database, to achieve the effect of solving query efficiency, efficiency improvement, fast and efficient relationship search and analysis

Inactive Publication Date: 2019-06-07
CHINA DEVELOPMENT BANK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the above-mentioned problems in related technologies, the present invention proposes a meta-model conversion method and management system based on a graph database, which can solve the storage problem of massive metadata and solve the problem of query efficiency of metadata

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  • Meta-model conversion method based on graph database, and management system
  • Meta-model conversion method based on graph database, and management system
  • Meta-model conversion method based on graph database, and management system

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0028] Such as figure 1 As shown, the present invention provides a metamodel transformation method based on graph database, comprising the following steps:

[0029] Step S10, processing basic metadata information, management information, and metadata relationship information to generate graph data, wherein the graph data includes metadata node information and metadata node relationship information;

[0030] Step S20, storing the generated map data in a graph database for generating a metadat...

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Abstract

The invention discloses a meta-model conversion method based on a graph database, and a management system. The meta-model conversion method comprises the following steps: processing metadata basic information, management information and metadata relation information to generate graph data, the graph data comprising metadata node information and metadata node relation information; and storing the generated graph data in a graph database for generating a metadata map. According to the technical scheme, the storage problem of metadata of different types and different granularities in the big dataera can be solved, the relation of the metadata can be quickly and efficiently searched and analyzed, and the analysis of the relation between the metadata is qualitatively improved. The problem of the use efficiency of mass metadata is solved through the graphic database, and the problem of the query efficiency of the metadata is solved. And meanwhile, a basis is provided for visually displayedmetadata information.

Description

technical field [0001] The invention relates to a metamodel conversion method and management system based on a graph database. Background technique [0002] With the advent of the era of big data and the continuous development of the business of various enterprises, the amount and type of data are increasing, and the relationship between data is becoming more and more complex. The application scenarios of data have also changed from traditional statistical analysis to now based on big Data machine learning, knowledge graph, etc. The in-depth mining and use of data, the promotion of data to business, and data in all aspects of enterprise operations are playing an increasingly important role. Data assets have gradually become one of the core assets of enterprises. [0003] Metadata is data about data, data that describes, explains, locates, and makes it easier to retrieve, use, or manage data. Metadata is the basis for data sharing, exchange, analysis, and use. Big data will...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29G06F16/22G06F16/2457
Inventor 钟晓良王剑张欣范媛媛黎冬梅
Owner CHINA DEVELOPMENT BANK
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