Abstract
The KBMS project at Stanford has been using knowledge based techniques to deal, among other, with issues of query and response processing in databases. We will describe some fairly simple techniques which have been found to be effective: 1. 1. Disambiquation of incomplete queries; 2. 2. Query transformation to reduce retrieval costs; 3. 3. Use of a structural model to create implicit joins; 4. 4. Use of the model to diagnose misleading responses due to faulty implicit assumptions; 5. 5. Automatic reduction of output volume.
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