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
Sep 29, 2025 | New paper out in Neurosymbolic Artificial Intelligence Journal on Learning Semantic Association Rules from Internet of Things Data, led by Erkan. |
Sep 17, 2025 | Congratulations Dr. Stefan Grafberger on defending his PhD - Declarative Machine Learning Pipeline Management via Logical Query Plans. |
Sep 15, 2025 | We’re pleased to welcome Dr. Francesco Compagno as a postdoc to the group working on diagnostics, LLMs and knowlege graphs. |
Sep 14, 2025 | New research software paper led by Erkan out in the SoftwareX journal, describing PyAerial: scalable association rule learner from tabular data. |
Sep 10, 2025 | We have a new survey out in collaboration with a number of other labs on the topic of LLMs and graph learning. Check it out. |
Sep 9, 2025 | We’re pleased to welcome Dmitrii Orlov as a new PhD student to the group. He’ll be working hybrid human-AI workflows as part of the Hybrid Intelligence Centre. |
Sep 8, 2025 | We are at NeSy 2025 conference this week. Brad is presenting the work he led on Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations. A collaboration with USC, RPI, the VU. Erkan Karabulut is presenting Neurosymbolic Association Rule Mining from Tabular Data. If you’re around, say hi. |
Sep 1, 2025 | We’re at VLDB this week. Hazar is organizing the Quality in Databases Workshop. Paul is giving a keynote at the Data Economy Workshop and has demo with the DEEM Lab team on improving ML data preparation code. |