Lecture: Knowledge Acquisition and Machine Learning
14 - 16 x 2 hours lecture
Katharina Morik
The lecture consists of five blocks. At the end of each block, a session is
devoted to discussion.
- Early approaches
- early expert systems: from MYCIN to NEOMYCIN
- early knowledge acquisition (KA) systems - the transfer view
(OPAL, MOLE, AQUINAS)
- KADS
- knowledge eliciation
- modeling expertise
- applications
- early machine learning (ML) approaches - automatic KA?
- ID3
- conceptual clustering - star method
- current KA techniques
- OPAL to Protege
- current ML approaches
- FOIL
- conceptual clustering - UNIMEM
- inductive logic programming, theta subsumption
- case-based reasoning
- integration of KA and ML
- MOBAL - a KA workbench including ML tools
- knowledge maintenance
- applications of MOBAL