86 citations · 200 across the 12 of their papers we have counts for
14 papers
Creating Knowledge Graphs for Geographic Data on the Web
Elena Demidova, Alishiba Dsouza, Simon Gottschalk +2
Geographic data plays an essential role in various Web, Semantic Web and machine learning applications. OpenStreetMap and knowledge graphs are critical complementary sources of geo…
Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks
Leonie von Wahl, Nicolas Tempelmeier, Ashutosh Sao +1
The transition from conventional mobility to electromobility largely depends on charging infrastructure availability and optimal placement.This paper examines the optimal placement…
Ovid: A Machine Learning Approach for Automated Vandalism Detection in OpenStreetMap
Nicolas Tempelmeier, Elena Demidova
OpenStreetMap is a unique source of openly available worldwide map data, increasingly adopted in real-world applications. Vandalism detection in OpenStreetMap is critical and remar…
Attention-Based Vandalism Detection in OpenStreetMap
Nicolas Tempelmeier, Elena Demidova
OpenStreetMap (OSM), a collaborative, crowdsourced Web map, is a unique source of openly available worldwide map data, increasingly adopted in Web applications. Vandalism detection…
WorldKG: A World-Scale Geographic Knowledge Graph
Alishiba Dsouza, Nicolas Tempelmeier, Ran Yu +2
OpenStreetMap is a rich source of openly available geographic information. However, the representation of geographic entities, e.g., buildings, mountains, and cities, within OpenSt…
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
Nicolas Tempelmeier, Simon Gottschalk, Elena Demidova
OpenStreetMap (OSM) is currently the richest publicly available information source on geographic entities (e.g., buildings and roads) worldwide. However, using OSM entities in mach…