Knowledge Engineering and Business Intelligence

Lectures Dates Remaining:

  • Tuesday, 14th of May, 10 - 13 (AB2)
  • Wedndesday, 15th of May, 10 - 13 (AB1)
  • Monday, 3rd of June, 14 - 18 (AB2)
  • Tuesday, 4th of June, 10 - 13 (AB2)
  • Wedndesday, 5th of June, 9 - 13 (AB1)


  • Knut Hinkelmann
  • Holger Wache

ESSE3 Link

Supporting Knowledge-Intensive Processes

Knowledge-intensive processes are more unstructured processes with a lot of involvements of users with their experience. Supporting such processes at their levels requires modelling and enacting several different forms of knowledge. In general more explicit represented knowledge allows better support. But different forms of knowledge need different intuitive and adequate representations and inferences.

After completion of this module, the participants will be able to assess which kind of knowledge representation and reasoning is adequate and are able to develop appropriate knowledge-based systems. They can value the advantages of knowledge-based systems with respect to their costs. Business Intelligence is concerned with supporting business decisions with facts. It supports business actors in turning data into knowledge that helps to make the right decisions.The module looks at different kinds of decisions (and hence requirements), at different kinds of data and different kinds of tools required to distill knowledge out of data.

  • Introduction: Knowledge in processes
  • Decision Tables
  • Rules
    • Textual represented rule (i.e. Horn clauses)
    • Forward and backward chaining
    • Data-driven and Goal-oriented
    • Negation-as-failure
  • Object-centred Systems
    • F-Logic/Objectlogic
  • Fuzzy Logic
  • Business Intelligence & Data Warehouse
  • Reporting and Data Analysis
  • Machine Learning: Learning Decision Trees
  • Case-Based Reasoning
  • Neuronal Networks


Course Material

Exam Dates A.Y. 2018/2019

  • 19th of June 2019, 10:00
  • 3rd of July 2019, 10:00
  • 24th of July 2019, 10:00

Exam rules: