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SUMMARY:Detection and Semantic Annotation of Changes in OpenStreetMap Data
  - Camille Bernard\, PedroPinheiro
DTSTART;TZID=Europe/Paris:20260830T100500
DTEND;TZID=Europe/Paris:20260830T104000
DTSTAMP:20260917T073459Z
UID:pretalx-sotm2026-osm-science-3PBPMG@pretalx.com
DESCRIPTION:Geographical databases such as OpenStreetMap (OSM) are continu
 ously evolving to reflect ground-level transformations. Identifying and ch
 aracterizing these changes is a key challenge for analyzing evolution over
  time. While several works have analyzed OSM edit history\, the semantic i
 nterpretation of changes and the ability to distinguish genuine ground-lev
 el evolution from data refinements\, tagging corrections\, or modeling dec
 isions\, remains largely unaddressed. For planners relying on OSM\, distin
 guishing real infrastructure changes from editing artifacts is critical. W
 e address this challenge through two contributions: a web application to e
 xplore change dynamics and a methodology for semantic annotation and inter
 pretation of edits.
LOCATION:Martinique
URL:https://pretalx.com/sotm2026-osm-science/talk/3PBPMG/
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