A Calculation Method of Volunteer Geographic Information Credibility

Abstract

The invention discloses a volunteered geographic information credibility calculation method. Credibility of a VGI (volunteered geographic information) target is calculated according to credibility of a VGI contributor, and the credibility of the VGI contributor consists of initial credibility obtained by calculation of user registration information and evaluation credibility acquired from system behavior contributions. The method includes: defining once-editing results of a certain geographic space target edited by each volunteer as one version, and when other users edit the target version, calculating version similarity to acquire degrees of support, to the target version edited by the corresponding volunteer, of other users; calculating degrees of support, to each target contributed by a certain volunteer, of other contributors and subjecting each degree of support to weighted calculation to acquire comprehensive evaluation credibility of the corresponding volunteer. By adoption of the volunteered geographic information credibility calculation method, volunteered geographic information credibility can be evaluated objectively without enabling users to directly evaluate other volunteers by scoring, and scientific basis is provided for cleaning and screening of volunteered geographic information.

Description

technical field [0001] The invention belongs to the technical field of crowdsourced geographic information (VGI) applications, and in particular relates to a method for calculating the reputation of volunteer geographic information. Background technique [0002] The problem of data quality has always been a fundamental problem in the geographic information industry. Since volunteer geographic information (Volunteered Geographic Information, VGI) or crowd-sourcing information (Crowd-sourcing data) is reported spontaneously by public volunteers, there are a lot of malicious, False, low-quality data, compared with the data obtained by traditional professionals, its credibility has many uncertainties, and it needs to be evaluated before it can be used with confidence [Journal of Wuhan University: Information Science Edition, 2010. Li Deren, Qian Xin Lin, On Data Management of Spontaneous Geographic Information]. But the research work in this area has just started, and the resea...

AI Technical Summary

Problems solved by technology

Many scholars have compared and analyzed VGI data and professional data in the area of ​​interest [Transactions in GIS, 2010, Girres, J.F. and G.Touya. Quality assessment of the French OpenStreetMap dataset]. Scholars generally believe that in European cities The average location accuracy of regional crowdsource data is better than 7m, and the current situation and richness even exceed professional data, but VGI has serious problems of incompleteness and unevenness in various regions

Since this type of method requires high-precision professional data sets, it is difficult to be widely used in VGI data quality evaluation

[0005] In short, although the volunteer geographic information system has been developed for many years and a large amount of volunteer geographic information has been collected, due to the lack of methods and systems that can quantitatively evaluate the credibility of volunteer geographic information, it is impossible to comprehensively evaluate each volunteer and each volunteer. The credibility (or reliability) of the geographical information version of the volunteers cannot be scientifically cleaned or screened, which makes the data quality of the current volunteer geographical information uneven, and there are a lot of malicious, false, and low-quality data; the system adopts The target version only depends on the editing and generation time, and does not make quality evaluation, which leads to the problem that the target version used by the system service is not the best version, etc.

Images