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Assessing the Accuracy of Crowdsourced POI Names

Authors:
Abdulelah Abuabat
Mohammed Aldosari
Hassan Karimi

Keywords: Crowdsourcing; Volunteered Geographic Information (VGI); text similarity analysis; point of interest (POI); OpenStreetMap (OSM).

Abstract:
The purpose of this paper is to assess the accuracy of the Volunteered Geographic Information (VGI), specifically naming point of interests (POIs), in OpenStreetMap (OSM). For this, we compared, from a lexical perspective, the similarity of POI names in the OSM dataset with their corresponding names in a reference dataset. The overall similarity is 80.62% suggesting that POI names in OSM have potential to be an accurate and reliable source.

Pages: 28 to 31

Copyright: Copyright (c) IARIA, 2018

Publication date: May 20, 2018

Published in: conference

ISSN: 2308-4421

ISBN: 978-1-61208-636-1

Location: Nice, France

Dates: from May 20, 2018 to May 24, 2018