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A method for matching crowd-sourced and authoritative geospatial data

Du, Heshan; Alechina, Natasha; Jackson, Mike; Hart, Glen

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Authors

Heshan Du

Natasha Alechina

Mike Jackson

Glen Hart



Abstract

A method for matching crowd-sourced and authoritative geospatial data is presented. A level of tolerance is defined as an input parameter as some difference in the geometry representation of a spatial object is to be expected. The method generates matches between spatial objects using location information and lexical information, such as names and types, and verifies consistency of matches using reasoning in qualitative spatial logic and description logic. We test the method by matching geospatial data from OpenStreetMap and the national mapping agencies of Great Britain and France. We also analyze how the level of tolerance affects the precision and recall of matching results for the same geographic area using 12 different levels of tolerance within a range of 1 to 80 meters. The generated matches show potential in helping enrich and update geospatial data.

Journal Article Type Article
Acceptance Date Dec 28, 2015
Publication Date May 9, 2016
Deposit Date May 19, 2016
Publicly Available Date May 19, 2016
Journal Transactions in GIS
Print ISSN 1361-1682
Electronic ISSN 1361-1682
Publisher Wiley
Peer Reviewed Not Peer Reviewed
Volume 21
Issue 2
Pages 406-427
DOI https://doi.org/10.1111/tgis.12210
Public URL https://nottingham-repository.worktribe.com/output/790774
Publisher URL http://onlinelibrary.wiley.com/doi/10.1111/tgis.12210/full
Additional Information This article was accepted for publication in Transactions in GIS 28 December 2015.

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