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<p><b>Abstract</b>—Most database systems research assumes that the database schema is determined by a database administrator. With the recent increase in interest in knowledge discovery from databases and the predicted increase in the volume of data expected to be stored it is appropriate to reexamine this assumption and investigate how derived or induced, rather than database administrator supplied, structure can be accommodated and used by database systems. This paper investigates some of the characteristics of inductive learning and knowledge discovery as they pertain to database systems and the constraints that would be imposed on appropriate inductive learning algorithms is discussed. A formal method of defining induced dependencies (both static and temporal) is proposed as the inductive analogue to functional dependencies. The <b>Boswell</b> database system exemplifying some of these characteristics is also briefly discussed.</p>
Inductive data models, knowledge discovery, temporal inference, Boswell.

T. J. Richards, J. F. Roddick and N. G. Craske, "Handling Discovered Structure in Database Systems," in IEEE Transactions on Knowledge & Data Engineering, vol. 8, no. , pp. 227-240, 1996.
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