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02/17/2023
Creating Knowledge Graphs for Geographic Data on the Web
Geographic data plays an essential role in various Web, Semantic Web and...
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06/13/2022
Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks
The transition from conventional mobility to electromobility largely dep...
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03/21/2022
Ovid: A Machine Learning Approach for Automated Vandalism Detection in OpenStreetMap
OpenStreetMap is a unique source of openly available worldwide map data,...
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01/25/2022
Attention-Based Vandalism Detection in OpenStreetMap
OpenStreetMap (OSM), a collaborative, crowdsourced Web map, is a unique ...
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09/21/2021
WorldKG: A World-Scale Geographic Knowledge Graph
OpenStreetMap is a rich source of openly available geographic informatio...
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08/30/2021
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
OpenStreetMap (OSM) is currently the richest publicly available informat...
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08/27/2021
Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting
With an increasing number of electric vehicles, the accurate forecasting...
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07/28/2021
Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs
OpenStreetMap (OSM) is one of the richest openly available sources of vo...
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07/20/2021
Mining Topological Dependencies of Recurrent Congestion in Road Networks
The discovery of spatio-temporal dependencies within urban road networks...
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07/31/2020
TA-Dash: An Interactive Dashboard for Spatial-Temporal Traffic Analytics – Demo Paper
In recent years, a large number of research efforts aimed at the develop...
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09/12/2019
Simple-ML: Towards a Framework for Semantic Data Analytics Workflows
In this paper we present the Simple-ML framework that we develop to supp...
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03/26/2019
Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions
With the increasing availability of mobility-related data, such as GPS-t...
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03/01/2018