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A Sketch Construction Method for Directed Labeled Graph in Flow Mode Based on Minimal Sketch

A construction method and streaming mode technology, applied in still image data indexing, still image data retrieval, data processing input/output process, etc., can solve problems such as time-consuming, large amount of data, and difficult query

Active Publication Date: 2020-08-11
NANKAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to the huge amount of data, it is very difficult to query based on the original graph
On the one hand, due to the large scale of the original graph, the query based on the original graph may need to continuously read part of the original graph into the memory, which is very resource-intensive and computationally time-consuming.
On the other hand, search queries on large-scale raw graphs are also very time-consuming

Method used

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  • A Sketch Construction Method for Directed Labeled Graph in Flow Mode Based on Minimal Sketch
  • A Sketch Construction Method for Directed Labeled Graph in Flow Mode Based on Minimal Sketch
  • A Sketch Construction Method for Directed Labeled Graph in Flow Mode Based on Minimal Sketch

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] Example 1: Method for constructing thumbnails of directed label graphs in streaming mode based on minimum thumbnails according to compression ratio requirements

[0084] 1. According to the compression ratio requirements, the thumbnail storage space is allocated as follows figure 1 According to the method of the present invention, the thumbnail storage space is allocated. figure 1 Selected from a portion of social network graphs. The point labels in the original image include 10 labels such as user type and information type; the point identifiers include 10 identifiers such as user name and information; the edge labels include 20 different topics. The total amount of data is 100,000, and the compression ratio is required to be 1 / 100, so the used data space can be stored no more than Article data.

[0085] Considering the limitation of the compression ratio and the actual number of point labels, point identifiers and edge labels, we determine the mapping range of poi...

Embodiment 2

[0096] Example 2: Method for constructing thumbnails of directed label graphs in streaming mode based on minimum thumbnails according to maximum storage space requirements

[0097] 1. Allocate thumbnail storage space according to the maximum storage space requirement

[0098] We Figure 4 According to the method of the present invention, the thumbnail storage space is allocated. Figure 4 Selected from a portion of the trading platform network diagram. The point labels in the original picture indicate the categories of items sold by buyers or sellers, including 12 labels such as electrical appliances, mother and baby; the point identifiers include 12 identifiers such as the buyer’s account number and the seller’s store name; side labels include 25 item name. The total amount of data is 500,000, and the maximum storage space is limited to 3000.

[0099] Limited by the requirement of the maximum storage space, and considering the actual number of point labels, point identifi...

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PUM

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Abstract

The invention discloses a sketch construction method of a directed label figure in a stream mode based on a minimum sketch. In this era with data explosion, various applications generate massive data every day, and data generated by the applications are increasing rapidly and constantly at the same time. Currently, the massive data generated by the applications can be expressed by using figure models, especially labeled figure models. In order to adapt to a feature that big data are large in data capacity and high in input-output speed, figure compression and inquiry on sketches become an effective way supporting many applications. In order to acquire a sketch of a labeled figure in the stream mode, the sketch construction method is provided. The method includes: performing two-stage Hash mapping on labels and identifiers of points on figure data; performing Hash mapping on labels on edges of the figure data; utilizing characteristics of a group of prime numbers to compress multiple side labels into an integer; dividing sub windows of a sliding window in the stream mode; automatically processing invalid data in the stream mode.

Description

technical field [0001] The invention belongs to the technical field of graph data processing. Background technique [0002] In this era of data explosion, various applications generate massive amounts of data every day, and the data generated by various applications is also growing rapidly. Common applications such as social networking platform Weibo, telephone network, web server request, road network, etc., these applications can be conveniently represented by a graph structure, especially a labeled graph structure. Including but not limited to the applications mentioned above, the data involved in these applications are continuously generated in a stream mode. [0003] Due to the huge amount of data, it is very difficult to query based on the original graph. On the one hand, due to the large scale of the original graph, the query based on the original graph may need to continuously read part of the original graph into the memory, which is very resource-intensive and com...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/51G06F3/06
CPCG06F3/0608G06F3/0644G06F16/51
Inventor 宋春瑶葛瑶袁晓洁
Owner NANKAI UNIV