392101 Knowledge Representation (S) (SoSe 2026)
Contents, comment
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The course covers foundational concepts and methods in Knowledge Representation and Reasoning (KR), addressing both theoretical foundations and practical applications. It focuses on symbolic and sub-symbolic approaches to representing, structuring, and reasoning over knowledge in intelligent systems.
Core topics include:
- First-Order Logic (FOL)
- Logic Programming and Automated Reasoning (Prolog programming, Rule-based reasoning)
- Structured Knowledge Representation (Frames, slots, and inheritance hierarchies)
- Start into Semantic networks
- Resource Description Framework (RDF)
- Knowledge graphs Reasoning
The second part of the course focuses on Knowledge Graph including:
- Knowledge acquisition from structured and unstructured data
- Distributional semantics and word embeddings
- Knowledge graph embeddings
- Graph Neural Networks (GNNs) for knowledge representation
Advanced application topics include:
- Knowledge tracing
- Parametric knowledge in large language models
- Knowledge-graph-enhanced recommender systems
Requirements for participation, required level
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Useful prior knowledge: Discrete Mathematics, Formal Logic, Introduction to Machine Learning
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-WP-DS Data Science (Basis) | Einführendes Seminar | Student information | |
| - | Graded examination | Student information | |
| 39-Inf-WP-DS-x Data Science (Focus) | Einführende Veranstaltung Seminar o. Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-Inf-WP-KI Artificial Intelligence (Basis) | Einführendes Seminar | Student information | |
| - | Graded examination | Student information | |
| 39-Inf-WP-KI-x Artificial Intelligence (Focus) | Einführende Veranstaltung Seminar o. Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-M-Inf-AI-bas Basics of Artificial Intelligence | Basics of Artificial Intelligence: Seminar | Student information | |
| - | Ungraded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
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- SS2026_392101@ekvv.uni-bielefeld.de
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- Last update basic details/teaching staff:
- Monday, April 20, 2026
- Last update times:
- Monday, May 4, 2026
- Last update rooms:
- Monday, May 4, 2026
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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