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| Detailed information |
| Pre-requisites |
(*)keine
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| Original study plan |
Master's programme Business Informatics 2025W |
| Learning Outcomes |
Competences |
| Taking into account the current scientific state of the art, students are able to prepare and design data using semantic methods and techniques in a machine-readable way so that these data can be automatically exchanged or connected between organizations in order to analyze and intelligently control business processes within and across companies.
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| Skills |
Knowledge |
- LO2: Students can use methods and procedures of symbolic artificial intelligence to explicitly represent the semantics of data (K3).
- LO3: Students are able to use semantic technologies alone or in combination with probabilistic and statistical machine learning methods to integrate, exchange and analyze data (K3).
- LO4: Students are able to use semantic technologies to compose and control business processes (K3).
- LO5: Students are able to apply semantic technologies for the development and use of intelligent agents (K2).
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LO1: Methods and procedures of symbolic artificial intelligence; symbolic vs. non-symbolic artificial intelligence; ontologies and selected ontology languages; knowledge graphs; non-probabilistic and probabilistic reasoning; intelligent agents; combination of knowledge graphs with machine learning methods
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| Criteria for evaluation |
Written exam
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| Methods |
The topics of the course are taught as classical lecture, which is complemented and accompanied by a practical course.
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| Language |
German/English |
| Study material |
Basic literature:
- Fensel, D.; Lausen, H.; Polleres, A.; de Bruijn, J.; Stollberg, M.; Roman, D.; Domingue, J.: Enabling Semantic Web Services: The Web Service Modeling Ontology. Springer, current edition.
- Hitzler, P.; Krötzsch, M.; Rudolph, S.; Sure, Y.: Semantic Web. Springer, current edition.
- Kashyap, V.; Bussler, C.; Moran, M.: The Semantic Web, Semantics for Data and Services on the Web. Springer, current edition.
- Kuropka, D. et al.: Semantic Service Provisioning. Springer, current edition.
Supplementary reading will be announced for each semester.
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| Changing subject? |
No |
| Further information |
VL and UE Semantic Artificial Intelligence form an inseparable didactic unit. The learning outcomes described are achieved through the interaction of both.
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| Corresponding lecture |
(*)926BUSISETV14: VO Semantische Technologien (3 ECTS)
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