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.
|May 29, 2023||Paul gives a keynote at the Semantics for Events and Stories workshop at ESWC 2023.|
|May 23, 2023||Paul gave a lecture on Data Governance at The Government.|
|May 14, 2023||Trip Report: Web Conf 2023|
|May 2, 2023||Thiviyan is at ICLR in Kigali, Rwanda this week where he co-chairs the NeSy-GeMs workshop. He also presents his work on Probabilistic Neurosymbolic Inference with collaborators from the VU and TU Eindhoven. Come say hi!|
|Apr 30, 2023||We are at the Web Conference this week for the Provenance Week workshop. Presenting mlinspect, brief thoughts on ML + provenance, and celebrating 10 years of the W3C Provenance recommendations.|
|Apr 13, 2023||We have a new PhD position in collaboration with ABN-AMRO on Systems for AI Data Quality in Finance. This project is with Sebastian Schelter, Kristina Irion, Paul Groth and Stefania Milan. Applications are due 21 May 2023. Find more info and apply here.|
|Apr 10, 2023||New Dagstuhl Seminar report out on the future of knowledge engineering and knowledge graphs. Paul co-organized this seminar with colleagues from Kings College London, Wikidata and the KNAW humanites cluster. Do check out Brad’s contribution on the history of knowledge engineering.|
|Apr 6, 2023||Viktoriya and collaborators have a new paper accepted at ACM DEBS 2023 on adaptive quality aware event processing for IoT.|