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.
|Mar 24, 2021||INDElab at EDBT 2021. Sebastian and colleagues presented their work on automated data quality validation and the study of data errors. Paul served as vice-chair for the databases in data science track.|
|Mar 23, 2021||Sara gave a talk on Causality Inspried ML at CNR IAC seminar series on Artificial Intelligence and Mathematics. Note the talk is in Italian.|
|Mar 2, 2021||Congratulations Dr. Kathleen Gregory! She graduated with her PhD cum laude from Maastricht University on data discovery practices in research. Paul was one of Kathleen’s promotors.|
|Feb 23, 2021||Sebastian together with Barrie Kersbergen have had their paper about learnings from a real world recommender system at one of Europe’s largest e-commerce platforms accepted at ICDE 2021.|
|Feb 22, 2021||Sebastian, Stefan together with Shubha Guha and Julia Stoyanovich (NYU) have a demo of mlinspect accepted at SIGMOD 2021. Congrats!|
|Feb 18, 2021||Daniel gave a talk at the Lunch at ICAI: Discovery & Perception meetup on his recent work on inductive entity representations.|