Knowledge Engineering

2019-2020

Course Objective

goals:
1) obtain knowledge of the CommonKADS methodology (Knowledge and
Understanding)
2) to be able to elicitate knowledge from experts by using several
elicitation techniques (Applying Knowledge and Understanding, Making
Judgments, Communication)
3) to be able to build all CommonKads models that play a role in the
development of a knowledge based system, this includes the context of
the KBS and the expertise model based (Applying Knowledge and
Understanding)
4) to be able to implement the expertise model as a prototype(Applying
Knowledge and Understanding)
5) to be able to reflect on your own process of modelling and building a
knowledge based system, and to reflect on your product (=which are the
models and the implementation) (Making Judgments)
6) to be able to present your project verbal to your peers and written
in your final report. (Communication)

Course Content

Knowledge Engineering is a discipline that involves integrating
knowledge into a program for solving a complex problem, which requires
human expertise. Typical tasks are classification, diagnosis, planning
etc. In the course we use CommonKADS as the methodology for the process
of modeling the organisation, the context and the knowledge intensive
tasks.
This methodology give clear guidelines and concrete templates for
modeling the organisational aspects and the expertise model, which is
the core model of knowledge based system. The notion of pattern-based
knowledge modeling is a key issue in the knowledge modelling process.
The goal of the final project is to perform the entire knowledge
technology process for a knowledge intensive problem of your own
choosing, starting with context analysis, up to a (partial)
implementation of the knowledge based system.

Teaching Methods

Lectures, assignments, group project

Method of Assessment

Assignment, project reports.

Literature

Schreiber, Akkermans, Anjewierden, de Hoog, Shadbolt, van de Velde,
Wielinga: Knowledge Engineering & Management. The MIT Press, Cambridge
MA, 2000, ISBN 0-262-19300-0.

Target Audience

mAI, mIS

General Information

Course Code X_405099
Credits 6 EC
Period P2
Course Level 400
Language of Tuition English
Faculty Faculty of Science
Course Coordinator dr. A.C.M. ten Teije
Examiner dr. A.C.M. ten Teije
Teaching Staff dr. A.C.M. ten Teije

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture
Target audiences

This course is also available as: