| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2022W |
| Ziele |
(*)The integration of systems and their processed information is a main requirement in interconnected and cooperative environments. This course enables students
- to plan and manage the integration of information systems
- to select appropriate integration architectures for large projects
- to identify, assess, and resolve data quality issues
- to apply state-of-the-art methods for ontological engineering
- to represent and query knowledge graphs using RDF, OWL, and SPARQL
- to get insights into real-word integrated business applications
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| Lehrinhalte |
(*)This course presents different kinds of information, classifies problems of information integration processes and introduces the most important architectures as well as characteristics of integrated systems. Moreover, methods for semantic integration based on ontologies and knowledge representation languages are explained. Additionally, business applications of integrated information systems are presented. Practical experience is gained by using the methods and applying them in exercises and examples.
- Information integration
- Representation of data
- Distribution
- autonomy
- heterogeneity
- Integration architectures
- Scheme- and meta data management
- Data quality
- Ontologies
- Ontological engineering
- RDF
- OWL
- SPARQL
- Business intelligence
- Business applications
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| Beurteilungskriterien |
(*)Written 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 |
(*)in collaboration with 921INSYASWK13: KV Accessible Software and Web Design (1.5 ECTS) equivalent to
INMIPKVKCSY: KV Knowledge-centered Systems (4.5 ECTS)
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