In a multidatabase system, schematic con icts between two objects are usually of interest only when the objects have some semantic a nity. In this paper we try to reconcile the two perspectives. We rst de ne the concept of semantic proximity and provide a semantic taxonomy. We then enumerate and classify the schematic and data con icts. We discuss possible semantic similarities between two objects that have various types of schematicand data con icts. Issues of uncertain information and inconsistent information are also addressed.
Amit P. Sheth, Vipul Kashyap