The INtelligent Data Engineering Lab is part of the Informatics Institute of the University of Amsterdam. It investigates intelligent systems that support people in their work with data and information from diverse sources. This includes addressing problems related to the preparation, management, integration and reuse of data.
We perform both applied and fundamental research informed by empirical insights into data science practice. Recent topics of interest include: data management for machine learning, causality-inspired machine learning, data search, data provenance, information integration, automated knowledge base / knowledge graph construction, and data semantics.
The lab is led by Paul Groth.
news
| May 9, 2021 | Consider submitting to the Special Issue on Causal Discovery and Causality-Inspired Machine Learning for IEEE TNNLS co-edited by Sara. Due date Oct 22. |
| May 4, 2021 | Sara gave a talk at the Online Causal Inference Seminar on causality and domain adaption. Video. |
| Apr 30, 2021 | Daniel gave a talk at Search Engines Amsterdam. |
| Apr 15, 2021 | Fan Feng joined as a guest from the City University of Hong Kong. |
| Mar 31, 2021 | Congrats to Daniel and co-authors for winning one of the 8 outstanding paper awards at ICLR for their paper Complex Query Answering with Neural Link Predictors. 🎉 |
| Mar 25, 2021 | Sebastian edited the March special issue of the IEEE Data Engineering Bulletin on Data Validation for Machine Learning Models and Applications. |