Knowledge representation in information systems

Data is displayed for the academic year: 2025./2026.

Lecturers

Prof.
Alan Jović
PhD

Course Description

Structure of a rational agent. Problem-solving paradigms and the physical symbol system hypothesis. Knowledge representation and reasoning in formal logic. Description logic, ontologies, and knowledge representation on the Web. Advanced ontological engineering. Knowledge graphs and semantic data integration. Vector representations and latent knowledge retrieval. Large language models. Neuro-symbolic artificial intelligence and retrieval-augmented generation (RAG) architectures.

Study Programmes

Postgraduate doctoral study programme

Literature

S. J. Russell and P. Norvig (2021.), Artificial Intelligence: A Modern Approach, Global Edition 4th Edition,, Pearson Education
Ronald J. Brachman and Hector J. Levesque (2004.), Knowledge Representation and Reasoning, Morgan Kaufmann
F. van Harmelen, V. Lifschitz, B. Porter (Eds) (2008.), Handbook of Knowledge Representation, Elsevier Science
P. Hitzler, M. K. Sarker, A. Eberhart (2023.), Compendium of neurosymbolic artificial intelligence, IOS Press
J. Z. Pan, G. Vetere, J. M. Gomez-Perez, H. Wu (Eds) (2017.), Exploiting Linked Data and Knowledge Graphs in Large Organizations, Springer Nature
J. Alammar, M. Grootendorst (2024.), Hands-On Large Language Models: Language Understanding and Generation, O’Reilly Media

General

ID 154828
  Winter semester
6 ECTS
L1 e-Learning