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.
news
| Jan 18, 2023 | Paul was part of a panel of SSP discussing definitions, challenges, risks, and opportunities on the intersection of AI and Scholarly Publishing. Read a summary here! |
| Jan 16, 2023 | We’re pleased to welcome Fina Polat as a new PhD student in the group. She’ll be working on the intersection of language models and knowledge graphs. |
| Jan 15, 2023 | Paul has a new book chapter out with collaborators from Maastricht, Vienna and DANS about interdisciplinarity and importance of users in studying research data practice. It also has a knitted figure. |
| Jan 11, 2023 | We were happy to be at CIDR. Sebastian gave a short talk, check it out here! |
| Dec 19, 2022 | We are hiring! An Assistant Professor in Data Engineering. Due date Feb 27, 2023. |
| Dec 16, 2022 | It was fun to meet our local colleagues at the Dutch-Belgian Database Day. Paul gave a keynote on Knowlegdge Graph as Systems and we presented the mlwhatif work led by Stefan. |
| Dec 16, 2022 | Thiviyan is co-organizing the ICLR 2023 Neurosymbolic Generative Models workshop. Check it out and submit! |
| Dec 11, 2022 | Madelon is co-organizing the Data Management for End-End ML (DEEM) Workshop at SIGMOD. Check it out and submit! |