A Tool for Matching Crowd-sourced and Authoritative Geospatial Data

被引：0
|
作者：
Du, Heshan [1 ]
Alechina, Natasha [1 ]
Hart, Glen [1 ]
Jackson, Michael [2 ]
机构：
[1] Univ Nottingham, Comp Sci, Nottingham, England
[2] Univ Nottingham, Nottingham Geospatial Inst, Nottingham, England
来源：
2015 INTERNATIONAL CONFERENCE ON MILITARY COMMUNICATIONS AND INFORMATION SYSTEMS (ICMCIS) | 2015年
关键词：
geospatial data matching; crowd-sourced geospatial data; validation; human effort; user evaluation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：8
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