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Information Resources Management Association
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Dynamic Integration in Multidatabase Systems

Dynamic Integration in Multidatabase Systems
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Author(s): Wen-Syan Li (CIMIC, Rutgers University, USA) and Chris Clifton (The MITRE Corporation, USA)
Copyright: 1996
Volume: 7
Issue: 1
Pages: 13
Source title: Journal of Database Management (JDM)
Editor(s)-in-Chief: Keng Siau (Missouri University of Science and Technology, USA)
DOI: 10.4018/jdm.1996010103


The first step in interoperating among multidatabases is semantic integration: Producing attribute correspondences that describe relationships between attributes or classes in different database schemas. Dynamic integration requires the ability to automatically extract database semantics, express them as metadata, and match semantically equivalent data elements to produce attribute correspondences. This process can not be “pre-programmed” since the information to be accessed is heterogeneous. In this paper we present an architecture supporting dynamic integration. We first overview a tool, Semint, for automated semantic integration that helps database administrators generate attribute correspondences. We then introduce a novel framework for dynamic integration and a query language for multidatabase systems that uses Semint as part of a complete semantic integration service. Our framework supports dynamic integration as well as incremental integration. We show the advantages of our framework in an environment where full integration is not desired or complete knowledge of the databases to be integrated is unavailable.

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