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, data search, data provenance, information integration, automated knowledge base / knowledge graph construction, and data semantics.
news
| Oct 6, 2026 | We’re at MODELS conference this week. Taguhi presented her paper: A System-Level Perspective on Drift in Digital Twins at the Models and Evolution workshop. Victoria is the chair of the Design and Industry session at EDTconf. Say hi! |
| Oct 5, 2026 | This week Jan-Christoph is attending the Dagstuhl Seminar Large Language Models Meet Knowledge Graphs, which he co-organized. |
| Oct 1, 2026 | Paul is giving a keynote at EKAW 2026 on the knowledge placement problem. |
| Sep 29, 2026 | Congratulations Dr. Melika Ayoughi on defending her PhD - External and internal semantics for visual understanding. |
| Sep 16, 2026 | Mitja is at SEMANTICS this week to present his paper Bridging Theory and Practice in Semantic Data Science during the posters session. Say hi! |
| Sep 13, 2026 | Trip Report VLDB 2026 |
| Sep 1, 2026 | We’re at VLDB this week. David is presenting his paper with Paul and Hazar on benchmarking the impact of label data quality on ML performance. Say hi! |
| Aug 31, 2026 | Team INDElab (Zeyu and Erkan) placed second in the GreenDIGIT challenge of Predictive Modelling for Sustainable Digital Research Infrastructures part of the ECML PKDD 2026 Discovery Challenges. |
