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Knowledge Engineering: The Base Course

Learning Objective: Learn to satisfy the needs of today, but also an unknown future. Future-proof your data. Semantic Thinking.

  1. Explain the pain
  2. Data consumer vs data producer
  3. Perspectives on Data (e.g. four different definitions of “customer” or three terms for the same concept)
  4. Data integrating
  5. Data modeling and the different aspects
  6. RDB
  7. Ontologies
  8. Taxonomies
  9. UML
  10. Processes
  11. Methodologies and their trade-offs
  12. Creating KG
  13. ...
  14. Practical implementation side
  15. Data requirements
  16. Define success for data