1. Lee McCluskey University of Huddersfield
KE ROADMAP
Lee McCluskey
University of Huddersfield

2. DEFINITION
Knowledge Engineering (KE) in AI Planning is the process that deals with the
acquisition, validation and maintenance of planning domain models, and the
selection and optimization of appropriate planning machinery to work on them.
Review Meeting, Rome, 8. Nov. 2002, S. Biundo

3. CONTENTS Nature of KE for Planning / Introduction Related Areas KBS
Semantic Web and Planning Ontologies
Formal Methods in SE
Domain Analysis
Machine Learning
3. KE Support Tools and Environments
4. Knowledge Bases and Representation
5. Taxonomy of Planning Methods
6. Summary of Actions
Review Meeting, Rome, 8. Nov. 2002, S. Biundo

4. Semantic Web and Ontologies KE fom a KBS perspective
New Sections
Three new sections
Semantic Web and Ontologies
KE fom a KBS perspective
KE in AI Planning: an experience report from a knowledge engineer
Review Meeting, Rome, 8. Nov. 2002, S. Biundo

5. Plan What is left out? What needs changing? What needs re-arranging?
In the next few weeks:
We need to get it evaluated by some outside expert
Later:
We need to get it properly published
Review Meeting, Rome, 8. Nov. 2002, S. Biundo