WebGrid II: Developing Hierarchical Knowledge Structures from Flat Grids

The repertory grid has proved a useful tool for knowledge elicitation, yet its ‘flat’ entityattribute-value-value structure seems to preclude its use in developing the hierarchical knowledge structures common in semantic networks. However, it is known that general knowledge representation schemes, such as those of KL-ONE type systems, can be represented as an entity--attribute-value matrix in which the entities are concepts and the values are constraints. WebGrid-II extends the values available in a grid to include symbolic and numeric constraints, and this article demonstrates how various forms of grid analyses generate hierarchical knowledge structures from extended grids.