A tool for matching crowd-sourced and authoritative geospatial data

Heshan Du, Natasha Alechina, Glen Hart, Michael Jackson

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review

Abstract

A software tool MatchMaps was designed to facilitate matching between geospatial features held in different datasets, especially an authoritative dataset and a crowd-sourced dataset. MatchMaps is not fully automatic; it requires human interaction to resolve problematic matching cases. Previous studies have shown that this approach results in higher precision and recall than those achieved by fully automatic tools. In this study, we aim to evaluate MatchMaps with respect to the amount of human effort required for matching, and compare it with a fully manual matching process.

Original languageEnglish
Title of host publication2015 International Conference on Military Communications and Information Systems, ICMCIS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788393484812
DOIs
Publication statusPublished - 14 Jul 2015
Externally publishedYes
Event2015 International Conference on Military Communications and Information Systems, ICMCIS 2015 - Cracow, Poland
Duration: 18 May 201519 May 2015

Publication series

SeriesProceedings of the International Conference on Military Communications and Information Systems, ICMCIS

Conference

Conference2015 International Conference on Military Communications and Information Systems, ICMCIS 2015
Abbreviated titleICMCIS 2015
Country/TerritoryPoland
CityCracow
Period18/05/1519/05/15

Keywords

  • crowd-sourced geospatial data
  • geospatial data matching
  • human effort
  • user evaluation
  • validation

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