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Expression method for big data association relation in smart city

A technology of data relationship and association relationship, which is applied in the information field, can solve the problems that big data cannot be displayed, multiple association relationships cannot be displayed, etc., and achieve the effect of reducing propagation delay and speeding up response speed

Inactive Publication Date: 2016-04-20
BEIHANG UNIV
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Problems solved by technology

However, since each relationship has an independent XML representation, the connections between multiple relationships cannot be displayed, and thus it is impossible to have a comprehensive display of the relationships that exist widely among big data in smart cities.

Method used

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  • Expression method for big data association relation in smart city
  • Expression method for big data association relation in smart city
  • Expression method for big data association relation in smart city

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Embodiment Construction

[0039] Reference attached figure 1 , which exemplifies methods for optimizing data associations. (a) is the original data relationship diagram. (b) Optimize the data relation graph for 2 steps: by have to Depend on have to Depend on have to Depend on have to Optimizing the data graph for full step size: by have to Depend on have to At this point, all k-step optimizations are completed, and (c) constitutes the full-step optimization data graph of (a).

[0040] Reference attached figure 2 , which exemplifies how data changes result in transactions. In the initial data relationship diagram (a), delete data D, because there is a dependency between data C and data D Therefore, data C is also deleted, and there are only data A, data B and data E in the adjusted full-step optimization data relationship diagram (b).

[0041] Reference attached image 3 , which exemplifies how relational transformations result in transactions. In the initial data ...

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Abstract

The invention discloses an expression method for the big data association relation in a smart city. According to the method, transmissibility of the data relation is utilized for converting the partial indirect data relation into the direct data relation under the relation transmitting constraint condition, and response speed of data to changes is increased; in a data relation graph, some data relations can be transmitted among multiple data, the first data at the beginning of transmission is called an initial data, and the last data when transmission arrives is called a finishing point data. According to the association relation expression method adopting a data relation network, the basic data relation and the multi-stage data relation are defined, the transmission mechanism of the data relation is utilized for converting the transmission relation into the direct relation, the potential data association is found, propagation time delay for data updating is shortened, the response speed of the data relation graph to the dynamic changes is accelerated, and working efficiency of activating data is improved.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a method for representing the association relationship of big data in a smart city. Background technique [0002] In order to efficiently analyze and utilize big data resources in smart cities, it is necessary to deeply study the relationship between big data. At present, the research on the relationship of big data has flourished, but the work mainly focuses on the mining of the relationship, and the problem of the representation of the relationship has not been paid enough attention. How to effectively represent the relationship between big data is a prerequisite for further research on the dynamic growth of the relationship, and an important guarantee for guiding the intelligent behavior of urban residents. [0003] The representation of the association relationship refers to the use of mathematical models to represent the correlation between data, which is the b...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/288
Inventor 蒲菊华王元宏陈虞君熊璋吕卫锋
Owner BEIHANG UNIV
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