A method for matching crowd-sourced and authoritative geospatial data

Du, Heshan and Alechina, Natasha and Jackson, Mike and Hart, Glen (2016) A method for matching crowd-sourced and authoritative geospatial data. Transactions in GIS . ISSN 1361-1682

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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.

Item Type: Article
Additional Information: This article was accepted for publication in Transactions in GIS 28 December 2015.
Schools/Departments: University of Nottingham UK Campus > Faculty of Engineering
University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1111/tgis.12210
Depositing User: Alechina, Natasha
Date Deposited: 19 May 2016 10:44
Last Modified: 16 Sep 2016 16:36
URI: http://eprints.nottingham.ac.uk/id/eprint/33395

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