4 citations · 8 across the 6 of their papers we have counts for
6 papers
STRATOS: Bridging the Symbolic-to-Numeric Gap in Spatio-Temporal Text-to-SQL for Meteorological Data
Yi Zhang, Farhad Nooralahzadeh, Jonathan Fürst +4
Copernicus, the European Union's Earth observation program, produces petabytes of Earth observation and climate data, offering immense potential for research, policy, and applicati…
Interactive Ontology Matching with Cost-Efficient Learning
Bin Cheng, Jonathan Fürst, Tobias Jacobs +1
The creation of high-quality ontologies is crucial for data integration and knowledge-based reasoning, specifically in the context of the rising data economy. However, automatic on…
Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries
Jonathan Fürst, Catherine Kosten, Farhad Nooralahzadeh +2
Text-to-SQL systems (also known as NL-to-SQL systems) have become an increasingly popular solution for bridging the gap between user capabilities and SQL-based data access. These s…
Group-In: Group Inference from Wireless Traces of Mobile Devices
Gürkan Solmaz, Jonathan Fürst, Samet Aytaç +1
This paper proposes Group-In, a wireless scanning system to detect static or mobile people groups in indoor or outdoor environments. Group-In collects only wireless traces from the…
Fog Function: Serverless Fog Computing for Data Intensive IoT Services
Bin Cheng, Jonathan Fürst, Gurkan Solmaz +1
Fog computing can support IoT services with fast response time and low bandwidth usage by moving computation from the cloud to edge devices. However, existing fog computing framewo…
Reinforcement Learning Based Orchestration for Elastic Services
M. Fadel Argerich, B. Cheng, J. Fürst
Due to the highly variable execution context in which edge services run, adapting their behavior to the execution context is crucial to comply with their requirements. However, ada…