@inproceedings{166fc007723d4846bbaaf2ce22da3ced,
title = "A tool for matching crowd-sourced and authoritative geospatial data",
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.",
keywords = "crowd-sourced geospatial data, geospatial data matching, human effort, user evaluation, validation",
author = "Heshan Du and Natasha Alechina and Glen Hart and Michael Jackson",
note = "Publisher Copyright: {\textcopyright} 2015 Military University of Technology.; 2015 International Conference on Military Communications and Information Systems, ICMCIS 2015 ; Conference date: 18-05-2015 Through 19-05-2015",
year = "2015",
month = jul,
day = "14",
doi = "10.1109/ICMCIS.2015.7158669",
language = "English",
series = "2015 International Conference on Military Communications and Information Systems, ICMCIS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 International Conference on Military Communications and Information Systems, ICMCIS 2015",
address = "United States",
}