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JSON data visualization optimization method in cloud computing mode

An optimization method and cloud computing technology, applied in database indexing, database models, relational databases, etc., can solve problems such as unfavorable user understanding and analysis, redundant visual graphics, and low efficiency of automatic data visualization

Active Publication Date: 2020-05-22
优网云计算有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] At present, although there are already some JSON data visualization modeling methods, the automatic data visualization efficiency of these methods is low, or there are a large number of redundant graphics in the automatically generated visual graphics, which is not conducive to user understanding and analysis

Method used

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  • JSON data visualization optimization method in cloud computing mode
  • JSON data visualization optimization method in cloud computing mode
  • JSON data visualization optimization method in cloud computing mode

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Embodiment Construction

[0119] The present invention will be further described below in conjunction with the accompanying drawings.

[0120] refer to Figure 1 ~ Figure 3 , a fusion method of knowledge map relation extraction and REST service visualization based on DBSCAN clustering algorithm, including the following steps:

[0121] The first step, the construction of the target domain corpus: use the corpus content of the network corpus (such as Wikipedia) as the basis for constructing the knowledge map, improve the text quality and comprehensiveness of the domain corpus content, and use the network corpus entry information as the original Corpus content, in order to build a knowledge map, screen the original network corpus content, analyze the web page content of the entry, and find that in addition to the title and text information, the corpus content also includes HTML tags, editing information of the entry itself, web page link information, etc. Redundant information that has nothing to ...

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Abstract

A JSON data visualization optimization method in a cloud computing mode comprises the following steps: 1, constructing a target domain corpus; 2, carrying out corpus-oriented entity extraction; 3, incombination with Word2vec, performing instructive secondary pre-grouping on the corpus, and constructing a knowledge graph by using a DBSCAN clustering algorithm; 4, constructing a visual model tree VT; 5, defining a metadata tree MDT and an MST meta-structure tree, and converting JSON data returned by the REST service into MDT; and 6, querying whether data fragments matched in the knowledge graphconstructed in step 3 have actual semantic association or not on the basis of structure matching during pruning operation, dimension reduction adjustment and the matching process of StreuctModeli inan original structure tree MST and StreuctModeli in a visual model tree, and selecting an effective dimension combination according to an inquiry result optimization matching algorithm to improve theaccuracy of automatically generating the graph.

Description

technical field [0001] The invention relates to a JSON data visualization optimization method in a cloud computing mode. Background technique [0002] Cloud Computing (Cloud Computing) is a computing model based on the Internet. Among them, SaaS (Software as a Service) is an important model of cloud computing, and data resources and functions are packaged and delivered to users through cloud services. With the introduction of the REST (Representational State Transfer) architectural style in 2000, REST services have gradually become an important implementation technology architecture for software as a service. Diversified data services intersect and integrate multiple fields such as economy, medical care, sports, and life, and have generated huge amounts of data. JSON (JavaScript Object Notation) is a lightweight data exchange format popular in recent years, which is easy for machine parsing and generation. [0003] Data visualization assists users in analyzing and understa...

Claims

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Application Information

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IPC IPC(8): G06F16/22G06F16/28
CPCG06F16/2246G06F16/285G06F16/287G06F16/288
Inventor 陆佳炜王小定高燕煦朱昊天张元鸣肖刚
Owner 优网云计算有限公司
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