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.
The lab is led by Paul Groth.
|Nov 17, 2022||Check out this interview with Jacobijn on setting up the new UvA Bachelor program Computational Social Science.|
|Nov 4, 2022||New paper out in the Wikidata 2022 workshop on using patterns to improve schema reuse. Collaboration between Paul and University of Bologna. Results from the visit by Valentina Carriero to INDELab in 2021.|
|Nov 2, 2022||The work led by Thiviyan deeply reproducing RGCNs - Relational graph convolutional networks: a closer look - has been published in the journal PeerJ Computer Science. Congrats to Thivyian and co-authors!|
|Nov 1, 2022||Sara is moving to work with our colleagues across the hall at AMLab. She will continue to collaborate with INDElab. Congrats to Sara on the move!|
|Oct 20, 2022||We are hiring! A data engineer to help our lab and department with data stewardship and advanced developement. Applications due Nov. 16.|
|Oct 13, 2022||We were pleased to part of the 2nd annual UvA Data Science Day hosted by the UvA Data Science Centre. It was great to see all the interdisciplinary data science work going on at the UvA. Both Paul and Shuba presented.|
|Oct 6, 2022||We’re pleased to welcome Zeyu Zhang as a new PhD student in INDE lab. He will be working on responsible data mangement and NLP for mental health. This in context with the AMC through the UvA’s Data Science Centre.|
|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|