Describes and evaluates a system that selects key information from an event database by reasoning about event frequencies, frequencies of relations between events, and domain-specific importance measures. The system aggregates similar information and plans a summary tailored to a stereotypical user. (AEF)

Discusses a method for organizing and augmenting the data in a complex database to make automatic retrieval possible. Presents an example of the method using a database of information on the nature and use of fungicides. Initial results of trials with potential users suggest that the system can produce relevant responses to queries. (Author/AEF)