eprintid: 30327
rev_number: 44
eprint_status: archive
userid: 6077
dir: disk0/00/03/03/27
datestamp: 2021-10-22 15:02:12
lastmod: 2021-10-25 14:06:14
status_changed: 2021-10-22 15:02:12
type: bookPart
metadata_visibility: show
creators_name: Veselovsky, Veniamin
creators_name: Sarkar, Dipto
creators_name: Anderson, Jennings
creators_name: Soden, Robert
title: An automated approach to identifying corporate editing activity in OpenStreetMap
subjects: ddc-550
divisions: i-120700
pres_type: speech
keywords: giscience, geographic information science, corporate editors
cterms_swd: OpenStreetMap
date: 2021-07
publisher: Zenodo
id_scheme: DOI
id_number: 10.11588/heidok.00030327
official_url: http://doi.org/10.5281/zenodo.5112248
collection: c-57
ppn_swb: 177515436X
own_urn: urn:nbn:de:bsz:16-heidok-303270
language: eng
bibsort: VESELOVSKYANAUTOMATE202107
full_text_status: public
pagerange: 31-33
book_title: Proceedings of the Academic Track, State of the Map 2021
editors_name: Minghini, M.
editors_name: Ludwig, C.
editors_name: Anderson, J.
editors_name: Mooney, P.
editors_name: Grinberger, A.Y.
citation:   Veselovsky, Veniamin ; Sarkar, Dipto ; Anderson, Jennings ; Soden, Robert  (2021) An automated approach to identifying corporate editing activity in OpenStreetMap.  [Book Section]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/30327/15/State_of_the_Map_2021_8_Automated_approach.pdf