(*)Students are able
- to plan and manage the integration of information systems (K5, K6)
- to select appropriate integration architectures for large projects (K4)
- to identify, assess, and resolve data quality issues (K4, K5, K6)
- to apply state-of-the-art methods for ontological engineering (K3)
- to develop and query knowledge graphs using RDF, OWL, and SPARQL (K3, K6)
- to get insights into real-word integrated business applications (K2)
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(*)- Information integration
- Representation of data
- Distribution, autonomy, heterogeneity
- Integration architectures
- Schema- and meta data management
- Data quality
- Semantic integration
- Ontologies
- Ontological engineering
- RDF, OWL, SPARQL
- Business intelligence
- Business applications
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