Lee McCluskey University of Huddersfield KE ROADMAP Lee McCluskey University of Huddersfield

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

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

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

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