WAQM-based optimal sampling method for network barrier-free detection

A technology of optimal sampling and detection methods, which can be used in network data retrieval, network data indexing, and other database retrieval directions, and can solve problems such as large sampling errors.

Active Publication Date: 2016-08-03
ZHEJIANG UNIV
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Problems solved by technology

However, existing studies have shown that in accessibility detection, the sampling error caused by a sampling algorithm largely depends on the selected accessibility criteria; some data show that when the sampling rat...

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  • WAQM-based optimal sampling method for network barrier-free detection
  • WAQM-based optimal sampling method for network barrier-free detection
  • WAQM-based optimal sampling method for network barrier-free detection

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Embodiment Construction

[0037] With reference to accompanying drawing, further illustrate the present invention:

[0038] In order to reduce the sampling error in accessibility detection, the present invention has invented a kind of website accessibility detection optimal sampling method based on WAQM, carries out following steps on computer system:

[0039] 1) All webpages in the website to be detected are divided into (d+1) groups according to different depths, and webpages with the same depth are grouped together, where d is the maximum depth of the website, and the depth of the home page is 0;

[0040] 2) Construct the expectation model of the sampling error of the website;

[0041] 3) Given a sampling rate r, calculate the number of sampled web pages in each layer by minimizing the expectation of sampling error;

[0042] 4) According to the sampling number of webpages in each layer, randomly select a specified number of webpages in each layer to form a sampling sample;

[0043] 5) Obtain the a...

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Abstract

The invention discloses a WAQM-based optimal sampling method for network barrier-free detection. The method is implemented by means of performing the following steps on a computer system: grouping all webpages in a to-be-detected website according to different depths, and collecting the webpages with the same depth in a group; constructing an expectation model for website sampling errors; giving a sampling ratio r, and calculating a sampling webpage number of each layer by means of minimizing expectation of the sampling errors; randomly selecting a specified number of webpages from each layer according to the webpage sampling number of each layer so as to form a sampling specimen; performing machine detection and manual detection on each webpage in the specimen so as to obtain a barrier-free score of each webpage; estimating the barrier-free score of the whole website by utilization of the barrier-free scores of the sampled webpages according to a barrier-free measurement standard. The method disclosed by the invention has the advantages that the sampling error can be greatly lowered, and a barrier-free situation of the whole website can be better reflected by specimen webpages selected through a sampling algorithm.

Description

technical field [0001] The invention relates to the technical field of sampling methods for website accessibility detection, in particular to a sampling method for website accessibility detection based on WAQM. Background technique [0002] According to the second national sampling survey on disabled persons, the number of various types of disabled persons in my country is 82.96 million, involving 260 million households. More and more people with disabilities use the Internet to obtain information, entertainment, and make friends. The Internet has become an important element of daily life for people with disabilities. Due to their own defects and the fact that most websites are obstructed to them, they have great difficulties in obtaining, using and interacting with Internet information services. Therefore, how to effectively discover webpages that are accessible to persons with disabilities and quickly assess the accessibility of a website has become an important research ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/951
Inventor 王灿卜佳俊张梦妮于智王炜
Owner ZHEJIANG UNIV
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