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.
|Sep 27, 2022||We’re pleased to welcome Pengyu Zhang as a new PhD student in the lab. He’ll be working on knowledge acquistion for knowledge graphs|
|Sep 26, 2022||Corey will be presenting his paper on question answering for the rapid revelopment of new knowledge extraction pipelines at EKAW 2022.|
|Sep 13, 2022||Paul co-organized, with collabortors from Wikimedia, King’s College and the KNAW, a Dagstuhl seminar on knowledge graphs and their role in the future of knowledge engineering.|
|Aug 25, 2022||Congrats to Thiviyan and the whole team who won the Knowledge Base Construction from Pre-trained Language Models (LM-KBC) challenge. Preprint.|
|Aug 16, 2022||Yet more hiring! Check out this postdoc position in the Innovation Center for Artifical Intelligence AIRlab. Due date September 15.|
|Aug 4, 2022||We are hiring even more! A PhD position in Causal Representation Learning and Fusion from Multiple Modalities. Due date September 15.|
|Aug 1, 2022||We are hiring! A PhD position in Knowledge Models and Resasoning Systems for Digital Twins. Due date September 5.|
|Jul 27, 2022||We are hiring. A PhD position in Combining Language Models & Knowledge Graphs. Due date Aug 19.|