Remzi Celebi

Remzi Celebi

Assistant Professor at Maastricht University (DACS). Research in Knowledge Graphs, Semantic Web, and AI for personalized health and drug discovery.

Building and Mining Knowledge Graphs

Course Coordinator & Lecturer, Maastricht University, Department of Advanced Computing Sciences, 2021

Course code: KEN4256
Level: Master (MSc Artificial Intelligence / MSc Data Science for Decision Making)
Years taught: 2021–2022, 2022–2023

This course covers advanced techniques for constructing, enriching, and mining knowledge graphs. Students work with real-world datasets to build knowledge graphs from structured and unstructured sources, and apply machine learning methods — including knowledge graph embeddings — for reasoning and prediction tasks.

Topics covered:

  • Knowledge graph construction from structured and unstructured data
  • Named entity recognition and relation extraction
  • Knowledge graph embeddings (TransE, RotatE, etc.)
  • Link prediction and knowledge graph completion
  • Applications in biomedical and health data