Conjunctive constraint mapping for data translation

In this paper we present a mechanism for translating information in heterogeneous digital library environments. We model information as a set of conjunctive constraints that are satisfied by real- world objects (e.g, documents, their metadata). Through application of semantic rules and value transformation functions, constraints are mapped into ones understood and supported in another context. Our machinery can also deal with hierarchically structured information.