| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2022W |
| Ziele |
(*)The development of complex information systems in a heterogeneous application context requires modeling methods for data as well as information objects including their semantics.
The objective of this course is to teach the application of object-oriented data and information models for the development of information systems. Especially in heterogeneous application scenarios, the consideration of the semantics is of special importance. Ontologies are presented as formal, explicit specifications of a shared conceptualization and different ontology engineering processes and methodologies are discussed. Practical experience is gained by using the methods and applying them in exercises and examples.
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| Lehrinhalte |
(*)Information systems development, Object-oriented data models (UML), Ontologies, Ontology engineering, RDF, OWL, Modeling tools
Semantic Data Modeling and Applications enables students
- to gain knowledge about object-oriented data models
- to apply specific UML models for data modeling and information system development
- to develop ontologies and knowledge graphs
- to gain practical experiences by applying the methods in exercises and examples
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| Beurteilungskriterien |
(*)Exam as well as the submission and evaluation of exercises
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| Lehrmethoden |
(*)Slide-based presentation, exercises
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)Will be announced at the start of the semester
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| Lehrinhalte wechselnd? |
Nein |
| Äquivalenzen |
(*)INMAWKVDMAE: KV Datenmodellierung und Applikationsentwicklung (3 ECTS)
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