86 citations · 370 across the 27 of their papers we have counts for
33 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…
Tab2KG: Semantic Table Interpretation with Lightweight Semantic Profiles
Simon Gottschalk, Elena Demidova
Tabular data plays an essential role in many data analytics and machine learning tasks. Typically, tabular data does not possess any machine-readable semantics. In this context, se…
QuoteKG: A Multilingual Knowledge Graph of Quotes
Tin Kuculo, Simon Gottschalk, Elena Demidova
Quotes of public figures can mark turning points in history. A quote can explain its originator's actions, foreshadowing political or personal decisions and revealing character tra…
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…
Visually Connecting Historical Figures Through Event Knowledge Graphs
Shahid Latif, Shivam Agarwal, Simon Gottschalk +7
Knowledge graphs store information about historical figures and their relationships indirectly through shared events. We developed a visualization system, VisKonnect, for analyzing…
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…
Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting
Ashutosh Sao, Nicolas Tempelmeier, Elena Demidova
With an increasing number of electric vehicles, the accurate forecasting of charging station occupation is crucial to enable reliable vehicle charging. This paper introduces a nove…
An Adaptive Clustering Approach for Accident Prediction
Rajjat Dadwal, Thorben Funke, Elena Demidova
Traffic accident prediction is a crucial task in the mobility domain. State-of-the-art accident prediction approaches are based on static and uniform grid-based geospatial aggregat…
Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs
Alishiba Dsouza, Nicolas Tempelmeier, Elena Demidova
OpenStreetMap (OSM) is one of the richest openly available sources of volunteered geographic information. Although OSM includes various geographical entities, their descriptions ar…
Mining Topological Dependencies of Recurrent Congestion in Road Networks
Nicolas Tempelmeier, Udo Feuerhake, Oskar Wage +1
The discovery of spatio-temporal dependencies within urban road networks that cause Recurrent Congestion (RC) patterns is crucial for numerous real-world applications, including ur…
EventKG+BT: Generation of Interactive Biography Timelines from a Knowledge Graph
Simon Gottschalk, Elena Demidova
Research on notable accomplishments and important events in the life of people of public interest usually requires close reading of long encyclopedic or biographical sources, which…
Linking OpenStreetMap with Knowledge Graphs -- Link Discovery for Schema-Agnostic Volunteered Geographic Information
Nicolas Tempelmeier, Elena Demidova
Representations of geographic entities captured in popular knowledge graphs such as Wikidata and DBpedia are often incomplete. OpenStreetMap (OSM) is a rich source of openly availa…
EventKG+Click: A Dataset of Language-specific Event-centric User Interaction Traces
Sara Abdollahi, Simon Gottschalk, Elena Demidova
An increasing need to analyse event-centric cross-lingual information calls for innovative user interaction models that assist users in crossing the language barrier. However, data…
TA-Dash: An Interactive Dashboard for Spatial-Temporal Traffic Analytics -- Demo Paper
Nicolas Tempelmeier, Anzumana Sander, Udo Feuerhake +2
In recent years, a large number of research efforts aimed at the development of machine learning models to predict complex spatial-temporal mobility patterns and their impact on ro…
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
Tarcísio Souza Costa, Simon Gottschalk, Elena Demidova
Semantic Question Answering (QA) is a crucial technology to facilitate intuitive user access to semantic information stored in knowledge graphs. Whereas most of the existing QA sys…
HapPenIng: Happen, Predict, Infer -- Event Series Completion in a Knowledge Graph
Simon Gottschalk, Elena Demidova
Event series, such as the Wimbledon Championships and the US presidential elections, represent important happenings in key societal areas including sports, culture and politics. Ho…
Simple-ML: Towards a Framework for Semantic Data Analytics Workflows
Simon Gottschalk, Nicolas Tempelmeier, Günter Kniesel +3
In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of…
EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generation
Simon Gottschalk, Elena Demidova
One of the key requirements to facilitate the semantic analytics of information regarding contemporary and historical events on the Web, in the news and in social media is the avai…
MultiWiki: Interlingual Text Passage Alignment in Wikipedia
Simon Gottschalk, Elena Demidova
In this article we address the problem of text passage alignment across interlingual article pairs in Wikipedia. We develop methods that enable the identification and interlinking…
Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions
Nicolas Tempelmeier, Yannick Rietz, Iryna Lishchuk +5
With the increasing availability of mobility-related data, such as GPS-traces, Web queries and climate conditions, there is a growing demand to utilize this data to better understa…
Towards Better Understanding Researcher Strategies in Cross-Lingual Event Analytics
Simon Gottschalk, Viola Bernacchi, Richard Rogers +1
With an increasing amount of information on globally important events, there is a growing demand for efficient analytics of multilingual event-centric information. Such analytics i…
EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph
Simon Gottschalk, Elena Demidova
The provision of multilingual event-centric temporal knowledge graphs such as EventKG enables structured access to representations of a large number of historical and contemporary…
EventKG: A Multilingual Event-Centric Temporal Knowledge Graph
Simon Gottschalk, Elena Demidova
One of the key requirements to facilitate semantic analytics of information regarding contemporary and historical events on the Web, in the news and in social media is the availabi…