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[ 515MKDDDKMV20 ] VL Data & Knowlegde Management
Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year Business Administration Bernd Neumayr 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Business Administration 2024W
Objectives Students are familiar with data models for representing and managing various types of company-relevant data (relational, semi-structured documents) and are able to use database management systems to store and retrieve data. They are able to extract and merge internal and external company data from various sources. Students are familiar with key methods and concepts of knowledge acquisition and knowledge representation, as well as knowledge management. They are able to represent knowledge in declarative form and use knowledge-based systems.

Subject
  • Conceptual data models: UML/entity relationship diagrams
  • Logical data models: Relational, semi-structured (XML), graph-oriented (RDF)
  • Query languages: SQL, XQuery, Sparql
  • Database management systems: Relational, object-oriented, graph stores, document stores
  • Data modeling and data integration
  • Implicit knowledge, methods and concepts of knowledge acquisition and

representation: ontologies, business rules, knowledge graphs

  • Knowledge-based systems, knowledge management in organizations
Criteria for evaluation (*)Die Beurteilung des Moduls erfolgt gemeinsam für das Modul aufgrund von schriftlichen Prüfungen sowie Gruppenleistungen.
Language English with possibility of German introductions by companies
Changing subject? No
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority