With the rise of data-driven science and data-driven organizations across both public and private sectors, knowledge extraction, modeling, and management becomes increasingly important. It is well known that data preparation is the most time-consuming phase in data science projects that in practice is typically done in a manual ad-hoc way. Those organizations which capitalize on principled solutions for data cleaning and integration towards reliable and explainable knowledge extraction will be at the forefront of the next generation of data analytics for value creation.
On September 22 and 23 2022 The Netherlands Research School on Information and Knowledge Systems will organize a two-day course “Data Science: From Data Lakes to Knowledge Graphs”.
The location will be Conference Center Landgoed Huize Bergen, Vught.
The course will be given in English and is part of the educational Program for SIKS-Ph.D. students. Although the course is primarily intended for SIKS-Ph.D. students, other participants are not excluded. However, their number of passes will be restricted and depends on the number of SIKS-Ph.D. students taking the course.
This course gives a coordinated series of tutorials on data and information management methods for knowledge engineering, including industry perspectives. The topic will be of interest to students and researchers in the Data, Computing, and Information Sciences, broadly conceived. Participants will gain an overview and understanding of the state of the art and current research challenges in core areas of knowledge management and data engineering.
Thursday September 22
10:00-10:15 Opening remarks – Hans Weigand (TiU)
10:15-11:30 Knowledge extraction: Reasoning on the Web – Jacopo Urbani (VUA)
11:30-12:45 Knowledge graph modeling – George Fletcher (TU/e)
12:45-14:00 Lunch break
14:00-15:15 Schema matching and dataset discovery – Asterios Katsifodimos (TUD)
15:15-15:45 Coffee break
15.45-16:45 Industrial perspective – Jos van Hillegersberg (JADS, UT)
Friday September 23
9:00-10:15 Knowledge graph data management – Nikolay Yakovets (TU/e)
10:15-10:45 Coffee break
10:45-12:00 Data integration and cleaning – Ekaterini Ioannou (TiU)
12:00-13:15 Lunch break
13:15-14:30 Data Quality for trusting the Extracted Knowledge – Yannis Velegrakis (UU)
14:30-15:45 Data Provenance for Responsible AI – Sebastian Schelter (UvA)
15:45-16:00 Coffee break
16:00-17:00 Industrial perspective – Juan Sequeda (data.world) remote presentation.
17:00-17:15 Closing remarks – Hans Weigand (TiU)
Participation is free for all SIKS-PhD students and SIKS research fellows. For registration you are kindly requested to fill in the registration form
For all questions regarding SIKS-educational program, ECTS-points etc., please contact email@example.com
Deadline for registration for SIKS-Ph.D. students: 7 September 2022
After that date, applications to participate will be honored in a first-come first-serve manner. Of course, applications to participate from other interested groups are welcome already. They will receive a notification whether they can participate as soon as possible.
Information for non-SIKS Ph.D. students
SIKS needs a confirmation from your supervisor/office that they agree with the arrangement and paying conditions.