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.
|Feb 20, 2024
|Madelon will defend her PhD dissertation entitled ‘Table Representation Learning’ on the 23rd of February, 16:00-17:30 at Agnietenkapel . You can watch this PhD defence ceremony here.
|Feb 19, 2024
|The IN-SIGHT project we are involved with has an event on the 21st of February for the release of a survey exploring the relation between public values, human rights, and technology design.
|Feb 12, 2024
|We are hiring: A PhD position in Data Quality for and using AI. Closing date: March 17.
|Jan 10, 2024
|We are hiring: A PhD position in Knowledge Transfer for Distributed Digital Twins. Closing date: Feb. 5, 2024
|Jan 8, 2024
|We’re pleased to welcome Teresa Liberatore to INDElab as a PhD student in collaboration with the Amsterdam Business School. She’s will be working on new methods to study patterns of influence in arts and entertainment.
|Dec 22, 2023
|We have a new systematic review out on the use of ontologies in digital twins appearing in the journal Future Generation Computer Systems. This work was led by Erkan and was done in colloboration with Flavio during his stay.
|Dec 20, 2023
|New paper out, led by Daniel, in the Journal of Biomedical Semantics on embedding multimodal biomedical knowlege graphs.
|Dec 19, 2023
|We are pleased to have an article in the inaugural issue of the Transactions on Graph Data and Knowledge. It’s on Knowledge Engineering using Large Languge models. Done with Brad, Paul and Lise Stork from the VU.