TOPKAT - The Open Practical Knowledge Acquisition Toolkit
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TOPKAT (The Open Practical Knowledge Acquisition Toolkit) is a hypertext and
diagram-based toolkit, developed at AIAI,
which integrates knowledge elicitation techniques with the CommonKADS approach
to knowledge modelling. It is implemented in
HARDY, AIAI's tool for producing
hypertext and diagrams in user-defined formats, and in
TOPKAT supports the following knowledge elicitation techniques:
TOPKAT supports the following CommonKADS models:
- Hypertext-based transcript analysis, including a partial natural language
analysis which helps in the identification of concepts and properties;
- Card sorting, including assistance in classifying sorts as different
types of properties;
- Repertory grids, including support for transforming numbers into meaning
- Laddered grids, including a facility for creating a CommonKADS domain
model directly from a laddered grid.
TOPKAT also supports PostScript output of models and diagrams.
For more detail, see this file,
or read this
paper, which was presented at the BCS SGES Expert Systems 94 conference.
The current status of TOPKAT is that it is a prototype used in previos
projects. No further development is planned.
- Task modelling (partial)
- Communication modelling (partial)
- Expertise modelling:
- Domain dictionaries
- Domain models
- Model level
- Inference structures
- Library of inference structures
- Task level
- Design modelling (basic)