DataInc – Intelligent Data Integration and Cleaning
Description
Clean, reliable data is crucial to an increasingly digitized financial industry.
We currently observe a lack of consistent, high-quality data across asset classes which requires costly and time-intensive human intervention.
We propose an AI-driven solution to address this important issue.
Key data
Projectlead
Co-Projectlead
Gabriele von Planta
Project team
Dr. Branka Hadji Misheva, Christoph Auth, Prof. Dr. Kurt Stockinger, Claude Lehmann, Dennis Gehrig, Dr. Damian Tschirky, Andrea Nagy
Project status
completed, 03/2022 - 02/2024
Institute/Centre
Institute of Computer Science (InIT); Institute of Data Analysis and Process Design (IDP)
Funding partner
Innovationsprojekt / Projekt Nr. 54383.1 IP-ICT
Project budget
1'119'864 CHF
Publications
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GraLMatch : matching groups of entities with graphs and language models
2025 de Meer Pardo, Fernando; Lehmann, Claude; Gehrig, Dennis; Nagy, Andrea; Nicoli, Stefano; Branka Hadji, Misheva; Braschler, Martin; Stockinger, Kurt
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TransClean : finding false positives in multi-source entity matching under real-world conditions via transitive consistency
2025 De Meer Pardo, Fernando; Hadji Misheva, Branka; Braschler, Martin; Stockinger, Kurt