Artikelaktionen
Knowledge Engineering
Knowledge-intensive processes are more unstructured processes with considerable involvement of users with their experiences. These users need knowledge at different levels including structural knowledge, for example for connecting people to other knowledgeable people, and formally represented knowledge, for example to automatically derive and suggest possible solutions. Supporting such processes requires modelling and enacting different forms of knowledge. In general more explicitly represented knowledge allows better support.
After completion of this module, the participants
- know different knowledge representation and inference paradigms including logicoriented, rule, and object-centred systems,
- will be able to assess which kind of knowledge representation is adequate, and to develop appropriate knowledge-based systems.
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ECTS |
6 |
Should be visited: |
FT: 2nd PT: 4th |
| Academic Module Coordinator |
Prof. Dr. Holger Wache |
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| Lecturers |
Prof. Dr. Knut Hinkelmann |
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| Pre-requisites |
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| Overall hours |
Contact hours: 60 h Self-Study: 120 h |
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| Outline Content |
This module is concerned with the acquisition, the representation and the inference of knowledge. Various forms of knowledge representation and inference techniques are analysed and discussed in detail. This course will include topics like
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| Teaching and Learning Methods |
The module is taught through plenary lectures and plenary/group workshops, including knowledge representation exercises, practical training with software tools, case studies, and presentations. Plenary sessions will be accompanied by assignments to be done as homework or during lecture. The results of the assignments may be presented in class. In addition, students undertake guided independent study throughout. Class participation is actively encouraged. In the plenary lectures students may be required to orally present results of guided self study or repetition of previous lecture. |
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