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.
|Jun 12, 2022||We are at SIGMOD 2022 this week. Stefan is giving a talk at the DEEM workshop on what-if analysis for ML pipelines. Sebastian has a paper in the main research track with Barrie Kersbergen and Olivier Sprangers from AIR Lab: Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale.|
|Jun 8, 2022||We are extremely happy to have co-authors on not one but two articles in the June issue of the Communications of the ACM. One article co-authored by Sebastian on Responsible Data Management and the other on the Common Workflow Language co-authored by Stian.|
|Jun 7, 2022||Trip Report: ESWC 2022|
|May 29, 2022||We are at ESWC 2022 this week! Paul is general chair also giving an invited talk at the NLIWoD workshop. Xue is presenting at the PhD symposium on her research plan for causal domain adaption for information extraction.|
|May 27, 2022||Madelon is part of the organizing team of the SemTab 2022 challenge on tables and knowledge graphs. Check it out!|
|May 23, 2022||Daniel is will be presenting his paper SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning at the Structured Prediction for NLP workshop at ACL 2022. Here’s a nice tweet summary.|
|May 18, 2022||Paul gave an invited talk at the Metadata4KG workshop part of an EU COST action on distributed knowledge graphs.|
|May 16, 2022||CITRIS: Causal Identifiability from Temporal Intervened Sequences was accepted at ICML 2022! The paper is co-authored by Sara and a team from around the UvA and Qualcomm.|