SIKS-course: Data Science: From Data Lakes to Knowledge Graphs (Online)


On October 5 and 6 2020 The Netherlands Research School on Information and Knowledge Systems will organize a two-day course “Data Science: From Data Lakes to Knowledge Graphs.” 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.

With the rise of data-driven science and data-driven organizations across both public and private sectors, knowledge extraction, modeling, and management become 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.
This course gives a coordinated series of tutorials on data and information management methods for knowledge engineering, on the following themes:

  • Knowledge extraction,
  • Knowledge graph data management,
  • Data management for Machine Learning,
  • Data integration and cleaning,
  • Data quality,
  • Data reliability and auditing,
  • Data visualization,
  • Data/knowledge modeling.

Lectures will be given by leading experts in the SIKS community:

  • Ekaterini Ioannou (UvT),
  • Jacopo Urbani (VU),
  • Nikolay Yakovets (TU/e),
  • Sebastian Schelter (UvA),
  • Yannis Velegrakis (UU),
  • Hans Weigand (UvT),
  • Emma Beauxis-Aussalet (HvA),
  • George Fletcher (TU/e).

A detailed program will be made available shortly. The course will be of interest to students and researchers in the domains of 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.

Deadline for registration for SIKS-Ph.D.-students: 30 September 2020

After that date, applications to participate will be honoured 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.