Abstract

Providing integrated access to heterogeneous databases in a distributed information-providing environment is challenging for cooperation and interoperability. In addition, the accessing of many data sources has aggravated problems for users of heterogeneous databases because of the heterogeneities among databases. To solve these problems, the discovery of semantic knowledge regarding the object classes present in the databases can be used as the pre-processing procedure for schema integration. This will also assist in increasing the interoperability of the heterogeneous databases. In this paper, we explore a new data mining approach which discovers new semantic relationships of the object classes in different databases. The proposed approach uses logical reasoning and object-oriented techniques to bridge heterogeneity in a large scale heterogeneous database environment. Mechanisms for accomplishing the objective are presented in theoretical terms, along with a running example. Key wor...

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