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Resource location in large scale heterogeneous and autonomous databases
Authors:Athman Bouguettaya  Stephen Milliner  Roger King
Affiliation:(1) School of Information Systems, Queensland University of Technology, Q 4001 Brisbane, Australia;(2) Department of Computer Science, University of Colorado, 80309 Boulder, Colorado, USA
Abstract:In many large organizations there has been a proliferation of database systems to handle ever increasing volumes of information. In order to explore a potentially huge on-line information space, we must develop an architecture which allows for the dynamic data driven construction of inter-database node relationships in an incremental manner. In this paper we introduce the FINDIT architecture which uses informationmeta-types to provide a basis for such an organization and, consequently, provides a platform for interoperability. A distinction is made between theinformation andinter-node relationship spaces to achieve scalability. Tassili language primitives are used for the incremental building of dynamic inter-node relationships based upon usage considerations.
Keywords:Multidatabases  Federated Databases  Interoperability  Heterogeneous and Autonomous Databases  Query Languages
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